{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\pxq521\Desktop\Glaessel_Scharpf_Edwards_Sportswashing_JoP_Replication\replication_log.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}22 Oct 2023, 12:45:01
{txt}
{com}.         
.         
. ********************************************************************************
. *
. * Figures in manuscript
. *
. ********************************************************************************        
.         
.         ****************************************************************************
.         *Figure 1. Autocratic hosts of international sports events, 1950-2024
.         ****************************************************************************    
.         
.         *Loading dataset
.         use "$path\sportsevents_data.dta", clear        
{txt}(Glaessel, Scharpf, Edwards. 'Does sportswashing work?' JoP [sports events])

{com}.         
.         *Generating 5-year interval variable
.         gen time=1 if year>=1945 & year<1950 
{txt}(324 missing values generated)

{com}.         replace time=2 if year>=1950 & year<1955
{txt}(18 real changes made)

{com}.         replace time=3 if year>=1955 & year<1960        
{txt}(15 real changes made)

{com}.         replace time=4 if year>=1960 & year<1965
{txt}(17 real changes made)

{com}.         replace time=5 if year>=1965 & year<1970        
{txt}(14 real changes made)

{com}.         replace time=6 if year>=1970 & year<1975        
{txt}(17 real changes made)

{com}.         replace time=7 if year>=1975 & year<1980        
{txt}(16 real changes made)

{com}.         replace time=8 if year>=1980 & year<1985                
{txt}(15 real changes made)

{com}.         replace time=9 if year>=1985 & year<1990        
{txt}(18 real changes made)

{com}.         replace time=10 if year>=1990 & year<1995 
{txt}(25 real changes made)

{com}.         replace time=11 if year>=1995 & year<2000
{txt}(31 real changes made)

{com}.         replace time=12 if year>=2000 & year<2005       
{txt}(25 real changes made)

{com}.         replace time=13 if year>=2005 & year<2010
{txt}(24 real changes made)

{com}.         replace time=14 if year>=2010 & year<2015       
{txt}(30 real changes made)

{com}.         replace time=15 if year>=2015 & year<2020               
{txt}(32 real changes made)

{com}.         replace time=16 if year>=2020 & year<2025               
{txt}(27 real changes made)

{com}.         
.         *Collapsing data
.         collapse (sum) event_selec autoc_host, by(time)
{txt}
{com}.         
.         *Generating regime prop
.         gen autoc_host_perc=(autoc_host/event_selec)*100
{txt}
{com}.                 
.         *Graph          
.         #delimit ;
{txt}delimiter now ;
{com}.         twoway (
>                         line autoc_host_perc time,
>                         lcolor(black)
>                         )
>                         (
>                         scatter autoc_host_perc time if time<10,
>                         mlcolor(black)
>                         mfcolor(white)
>                         msize(1.75)     
>                         )
>                         (
>                         scatter autoc_host_perc time if time>=10,
>                         mlcolor(black)
>                         mfcolor(black)
>                         msize(1.75)                             
>                         )
>                         , 
>                 ysize(1)
>                 xsize(1)                        
>                 yscale(range() noextend titlegap(+2))
>                 ylabel(0(10)70, angle(horizontal) nogrid ) 
>                 xscale(range(1.5 9.5) noextend titlegap(+3))            
>                 xlabel(
>                            2 "1950-1954" 
>                            4 "1960-1964"
>                            6 "1970-1974" 
>                            8 "1980-1984" 
>                            10 "1990-1994" 
>                            12 "2000-2004"
>                            14 "2010-2014" 
>                            16 "2020-2024"
>                            , angle(45) noticks labgap(+2))              
>                 xticks(2(1)16,tlength(*1))              
>                 ytitle("Autocratic host regimes (in %)", size(*1.2))
>                 xtitle("Years", size(*1.2))
>                 legend(off)
>                 plotregion(lcolor(white)) 
>                 graphregion(color(white) lcolor(white) lalign(outside))                 
>         ;
{res}{txt}
{com}.         #delimit cr
{txt}delimiter now cr
{com}.         graph export "$path\figure_1.pdf", as(pdf) replace      
{txt}(file C:\Users\pxq521\Desktop\Glaessel_Scharpf_Edwards_Sportswashing_JoP_Replication\figure_1.pdf written in PDF format)

{com}.                 
. 
.         ****************************************************************************
.         *Figure 2. Civil liberties in Qatar and all other host countries since 1950
.         ****************************************************************************            
.         
.         *Loading dataset
.         use "$path\host_data.dta", clear
{txt}(Glaessel, Scharpf, Edwards. 'Does sportswashing work?' JoP [hosts])

{com}.                 
.         *Rescaling variable on freedom of religion 0 <-> 1      
.         sum v2clrelig

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 3}v2clrelig {c |}{res}        323    1.379331    1.450276     -3.233      3.067
{txt}
{com}.         gen v2clrelig_rs = ( v2clrelig - r(min) ) / ( r(max)-r(min) )           
{txt}(1 missing value generated)

{com}.         sum v2clrelig_rs        

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
v2clrelig_rs {c |}{res}        323    .7321161    .2302025          0          1
{txt}
{com}.         
.         *Rescaling variable on discrimination based on sexual orientation 0 <-> 1       
.         sum v2pepwrort

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 2}v2pepwrort {c |}{res}        323    .5448204    1.242319     -2.153      3.069
{txt}
{com}.         gen v2pepwrort_rs = ( v2pepwrort - r(min) ) / ( r(max)-r(min) )         
{txt}(1 missing value generated)

{com}.         sum v2pepwrort_rs               

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
v2pepwrort~s {c |}{res}        323    .5166259     .237901          0          1
{txt}
{com}.         
.         *Renaming variables for reshaping
.         rename v2x_freexp vdem4
{res}{txt}
{com}.         rename v2xcl_slave vdem3
{res}{txt}
{com}.         rename v2clrelig_rs vdem2
{res}{txt}
{com}.         rename v2x_gencl vdem1
{res}{txt}
{com}.         rename v2pepwrort_rs vdem5
{res}{txt}
{com}.                 
.         *Reshaping data
.         reshape long vdem@, i(event_id) j(yaxis)
{txt}(note: j = 1 2 3 4 5)

Data{col 36}wide{col 43}->{col 48}long
{hline 77}
Number of obs.                 {res}     324   {txt}->{res}    1620
{txt}Number of variables            {res}      12   {txt}->{res}       9
{txt}j variable (5 values)                     ->   {res}yaxis
{txt}xij variables:
                  {res}vdem1 vdem2 ... vdem5   {txt}->   {res}vdem
{txt}{hline 77}

{com}.         
.         *Sorting data 
.         sort cname year
{txt}
{com}.         
.         *Generating Qatar identifier
.         gen qatar=1 if cname=="Qatar"   
{txt}(1,600 missing values generated)

{com}.         
.         *Generating bars
.         gen lo=.
{txt}(1,620 missing values generated)

{com}.         gen hi=.
{txt}(1,620 missing values generated)

{com}.         
.         replace lo=.7 if qatar==1 & yaxis==1 & year==2022
{txt}(1 real change made)

{com}.         replace hi=1.3 if qatar==1 & yaxis==1 & year==2022
{txt}(1 real change made)

{com}.         
.         replace lo=1.7 if qatar==1 & yaxis==2 & year==2022
{txt}(1 real change made)

{com}.         replace hi=2.3 if qatar==1 & yaxis==2 & year==2022
{txt}(1 real change made)

{com}.         
.         replace lo=2.7 if qatar==1 & yaxis==3 & year==2022
{txt}(1 real change made)

{com}.         replace hi=3.3 if qatar==1 & yaxis==3 & year==2022
{txt}(1 real change made)

{com}.         
.         replace lo=3.7 if qatar==1 & yaxis==4 & year==2022
{txt}(1 real change made)

{com}.         replace hi=4.3 if qatar==1 & yaxis==4 & year==2022
{txt}(1 real change made)

{com}. 
.         replace lo=4.7 if qatar==1 & yaxis==5 & year==2022
{txt}(1 real change made)

{com}.         replace hi=5.3 if qatar==1 & yaxis==5 & year==2022
{txt}(1 real change made)

{com}.                 
.         *Graph
.         #delimit ;
{txt}delimiter now ;
{com}.         twoway (scatter yaxis vdem if autoc==0, color("250 194 40%25") jitter(3) jitterseed(2148547))
>                    (scatter yaxis vdem if autoc==1, color("101 21 110%25") jitter(3) jitterseed(2148547))
>                    (rbar hi lo vdem if qatar==1, vertical color("101 21 110") fcolor("101 21 110") lwidth(*1.5)  barwidth(.015))
>                    ,
>                         ysize(1)
>                         xsize(1.25)                     
>                         yscale(range(.5 5.5) noextend titlegap(*+5))
>                         xscale(range() noline titlegap(*+7))
>                         ylabel(5 "LGBT rights" 4 "Freedom of expression" 3 "Workers' rights" 2 "Freedom of religion" 1 "Women's rights",
>                                         valuelabel angle(horizontal) labsize(*.9))      
>                         xlabel(.1 "{c -(}&larr{c )-} Low" .9 "High {c -(}&rarr{c )-}" , notick labsize(*.9))
>                         ytitle("")
>                         xtitle("", size(*.8))
>                         graphregion(color(white) lcolor(white) lalign(outside))
>                         legend(off                       
>                         )
>                    ;
{res}{txt}
{com}.         #delimit cr             
{txt}delimiter now cr
{com}.         graph export "$path\figure_2.pdf", replace as(pdf)              
{txt}(file C:\Users\pxq521\Desktop\Glaessel_Scharpf_Edwards_Sportswashing_JoP_Replication\figure_2.pdf written in PDF format)

{com}.                 
.         
.         ****************************************************************************
.         *Loading survey replication dataset
.         ****************************************************************************    
. 
.         *Loading dataset
.         use "$path\survey_data.dta", clear
{txt}(Glaessel, Scharpf, Edwards. 'Does sportswashing work?' JoP [survey])

{com}.         
.         
.         ****************************************************************************
.         *Figure 3. Public opinion survey in Germany around the start of the 2022 World Cup
.         ****************************************************************************            
.         
.         *Preserving data
.         preserve
{txt}
{com}.         
.         *Generating 6-hour datetime variable
.         gen hour=hh(end_german)
{txt}
{com}.         
.         gen hour_bin=1 if hour>=0 & hour<6
{txt}(2,000 missing values generated)

{com}.         replace hour_bin=2 if hour>=6 & hour<12
{txt}(303 real changes made)

{com}.         replace hour_bin=3 if hour>=12 & hour<18
{txt}(1,150 real changes made)

{com}.         replace hour_bin=4 if hour>=18 & hour<24        
{txt}(547 real changes made)

{com}.         
.         *Generating day variable
.         gen date=dofc(end_german)
{txt}
{com}.         format date %td
{txt}
{com}.                 
.         *Generating id variable for aggregating 
.         gen count=1
{txt}
{com}.         
.         *Aggregating data
.         collapse (sum) count, by(hour_bin date)         
{txt}
{com}.         sort date hour_bin
{txt}
{com}.         
.         *Adding dates
.         set obs `=_N+4'
{txt}{p}
number of observations (_N)  was 20,
now 24
{p_end}

{com}.         
.         forval i=0/3 {c -(}
{txt}  2{com}.         replace date=td(16nov2022)+(`i'+1) in `=_N-`i'' if date==.
{txt}  3{com}.         replace hour_bin=1 in `=_N-`i'' if hour_bin==.
{txt}  4{com}.         {c )-}
{txt}(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)

{com}.         
.         xtset date hour_bin, generic
{res}{txt}{col 8}panel variable:  {res}date (unbalanced)
{txt}{col 9}time variable:  {res}{col 25}hour_bin, 1 to 4
{txt}{col 17}delta:  {res}1 unit
{txt}
{com}.         tsfill, full
{txt}
{com}.         
.         *Generating xaxis
.         gen xaxis=_n
{txt}
{com}.         
.         *Modifiying bar values
.         replace count=0.1 if date<=td(16nov2022) & count==.
{txt}(2 real changes made)

{com}.         replace count=0.1 if date>=td(21nov2022) & count==.
{txt}(2 real changes made)

{com}.         
.         *Generating lines
.         gen xaxis_open=27 if xaxis==27
{txt}(39 missing values generated)

{com}.         gen yaxis_open=400 if xaxis==27
{txt}(39 missing values generated)

{com}.         
.         gen xaxis_german=39 if xaxis==39
{txt}(39 missing values generated)

{com}.         gen yaxis_german=400 if xaxis==39
{txt}(39 missing values generated)

{com}.         
.         *Graph
.         #delimit ;
{txt}delimiter now ;
{com}.         twoway (bar count xaxis, lcolor(gs5) color(gs10) base(-1) barwidth(.8) )
>                    (spike yaxis_open xaxis_open, lpattern(shortdash) lcolor(black) lwidth(*1.5))
>                    (spike yaxis_german xaxis_german, lpattern(shortdash) lcolor(gs5))
>                    ,
>                         ysize(1)
>                         xsize(1.5)                      
>                         yscale(range() noextend titlegap(*+5))
>                         xscale(range() noextend titlegap(*+7))
>                         ylabel(                         
>                         , angle(horizontal) nogrid)
>                         xlabel(
>                                    .5 " "
>                                    2.5 "14"
>                                    6.5 "15"
>                                    10.5 "16"
>                                    14.5 "17"
>                                    18.5 "18"
>                                    22.5 "19"
>                                    26.5 "20"
>                                    30.5 "21"
>                                    34.5 "22"
>                                    38.5 "23"
>                                    , notick labgap(*2.5)
>                         )
>                         xtick(.5(4)40.5,
>                         )               
>                         ytitle("Number of respondents")
>                         xtitle("November 2022")                 
>                         ttext(410 27 "World Cup start", size(*.8) placement(n))
>                         ttext(410 39 "GER vs. JPN", size(*.8) placement(n))
>                         graphregion(color(white) lcolor(white) lalign(outside)  margin(t=20 b=25))                      
>                         legend(off)
>                    ;
{res}{txt}
{com}.         #delimit cr             
{txt}delimiter now cr
{com}.         graph export "$path\figure_3.pdf", replace as(pdf)      
{txt}(file C:\Users\pxq521\Desktop\Glaessel_Scharpf_Edwards_Sportswashing_JoP_Replication\figure_3.pdf written in PDF format)

{com}.         
.         *Restoring data
.         restore
{txt}
{com}.         
.         
.         ****************************************************************************
.         *Figure 4. World Cup start effect on people's agreement with the statements: "Qatar is..." 
.         ****************************************************************************    
. 
.         *Preserving data
.         preserve
{txt}
{com}.         
.         *Control variables
.         #delimit ;
{txt}delimiter now ;
{com}.         global controls_2 = "
>                                                  age
>                                                  male 
>                                                  education3 
>                                                  mig_backg 
>                                                  pol_interest 
>                                                  pol_left_right 
>                                                  football_consumption 
>                                                  football_reports
>                                                  born_gdr
>                                                  world_regions_russia
>                                                  "
>         ;
{txt}
{com}.         #delimit cr
{txt}delimiter now cr
{com}.                 
.         *Dependent variables
.         #delimit ;
{txt}delimiter now ;
{com}.         tokenize                           "
>                                                    qatar_statements_1_influence 
>                                                    qatar_statements_1_aggro
>                                                    qatar_statements_1_tech
>                                                    qatar_statements_1_orga 
>                                                    qatar_statements_1_travel
>                                                    qat_state_2_worker
>                                                    qat_state_2_women
>                                                    qat_state_2_lgbt
>                                                    ";
{txt}
{com}.         #delimit cr     
{txt}delimiter now cr
{com}.         
.         *Models
.         forval j=1/8  {c -(} 
{txt}  2{com}.         tab ``j''
{txt}  3{com}.         
.         reg ``j'' wave $controls_2 , robust
{txt}  4{com}.         eststo model_2_`j'_1    
{txt}  5{com}.         margins , dydx(wave) at((asobserved) _all) level(95) post       
{txt}  6{com}.         parmest, saving("$path\results_fig_4_`j'_95CI.dta", replace) idstr(model_2_`j'_1) format(estimate min95 max95)  
{txt}  7{com}.         
.         {c )-}       

           {txt}Qatar: {c |}
  Internationally {c |}
      influential {c |}      Freq.     Percent        Cum.
{hline 18}{c +}{hline 35}
strongly disagree {c |}{res}        163        8.15        8.15
{txt}         disagree {c |}{res}        385       19.26       27.41
{txt}      neither nor {c |}{res}        766       38.32       65.73
{txt}            agree {c |}{res}        532       26.61       92.35
{txt}    stronly agree {c |}{res}        153        7.65      100.00
{txt}{hline 18}{c +}{hline 35}
            Total {c |}{res}      1,999      100.00

{txt}Linear regression                               Number of obs     = {res}     1,923
                                                {txt}F(11, 1911)       =  {res}     8.34
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0459
                                                {txt}Root MSE          =    {res} 1.0211

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}qatar_statements_1~e{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.0403674{col 34}{space 2} .0468845{col 45}{space 1}   -0.86{col 54}{space 3}0.389{col 62}{space 4}-.1323176{col 75}{space 3} .0515828
{txt}{space 17}age {c |}{col 22}{res}{space 2} .0021502{col 34}{space 2} .0017423{col 45}{space 1}    1.23{col 54}{space 3}0.217{col 62}{space 4}-.0012668{col 75}{space 3} .0055671
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.0082504{col 34}{space 2} .0497195{col 45}{space 1}   -0.17{col 54}{space 3}0.868{col 62}{space 4}-.1057607{col 75}{space 3} .0892598
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} .0414421{col 34}{space 2} .0315148{col 45}{space 1}    1.32{col 54}{space 3}0.189{col 62}{space 4} -.020365{col 75}{space 3} .1032492
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .1061084{col 34}{space 2} .0725932{col 45}{space 1}    1.46{col 54}{space 3}0.144{col 62}{space 4}-.0362617{col 75}{space 3} .2484785
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .1127568{col 34}{space 2} .0318495{col 45}{space 1}    3.54{col 54}{space 3}0.000{col 62}{space 4} .0502934{col 75}{space 3} .1752202
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.0084563{col 34}{space 2} .0132836{col 45}{space 1}   -0.64{col 54}{space 3}0.524{col 62}{space 4}-.0345083{col 75}{space 3} .0175956
{txt}football_consumption {c |}{col 22}{res}{space 2} .0367153{col 34}{space 2} .0217477{col 45}{space 1}    1.69{col 54}{space 3}0.092{col 62}{space 4}-.0059364{col 75}{space 3}  .079367
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2} .1011442{col 34}{space 2} .0292406{col 45}{space 1}    3.46{col 54}{space 3}0.001{col 62}{space 4} .0437973{col 75}{space 3} .1584911
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .1091431{col 34}{space 2} .0616262{col 45}{space 1}    1.77{col 54}{space 3}0.077{col 62}{space 4}-.0117185{col 75}{space 3} .2300048
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .1184995{col 34}{space 2} .0285145{col 45}{space 1}    4.16{col 54}{space 3}0.000{col 62}{space 4} .0625766{col 75}{space 3} .1744224
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 2.064931{col 34}{space 2} .1666248{col 45}{space 1}   12.39{col 54}{space 3}0.000{col 62}{space 4} 1.738146{col 75}{space 3} 2.391717
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     1,923
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:wave}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}wave {c |}{col 14}{res}{space 2}-.0403674{col 26}{space 2} .0468845{col 37}{space 1}   -0.86{col 46}{space 3}0.389{col 54}{space 4}-.1323176{col 67}{space 3} .0515828
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}file C:\Users\pxq521\Desktop\Glaessel_Scharpf_Edwards_Sportswashing_JoP_Replication\results_fig_4_1_95CI.dta saved

Qatar: Aggressive {c |}
          country {c |}      Freq.     Percent        Cum.
{hline 18}{c +}{hline 35}
strongly disagree {c |}{res}        121        6.05        6.05
{txt}         disagree {c |}{res}        296       14.81       20.86
{txt}      neither nor {c |}{res}        698       34.92       55.78
{txt}            agree {c |}{res}        607       30.37       86.14
{txt}    stronly agree {c |}{res}        277       13.86      100.00
{txt}{hline 18}{c +}{hline 35}
            Total {c |}{res}      1,999      100.00

{txt}Linear regression                               Number of obs     = {res}     1,923
                                                {txt}F(11, 1911)       =  {res}     5.82
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0362
                                                {txt}Root MSE          =    {res} 1.0523

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}qatar_statements_1~o{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.0657255{col 34}{space 2} .0481858{col 45}{space 1}   -1.36{col 54}{space 3}0.173{col 62}{space 4}-.1602277{col 75}{space 3} .0287767
{txt}{space 17}age {c |}{col 22}{res}{space 2}-.0018732{col 34}{space 2} .0017994{col 45}{space 1}   -1.04{col 54}{space 3}0.298{col 62}{space 4}-.0054021{col 75}{space 3} .0016558
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.1653972{col 34}{space 2} .0514776{col 45}{space 1}   -3.21{col 54}{space 3}0.001{col 62}{space 4}-.2663553{col 75}{space 3}-.0644391
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}-.0542887{col 34}{space 2} .0325751{col 45}{space 1}   -1.67{col 54}{space 3}0.096{col 62}{space 4}-.1181751{col 75}{space 3} .0095978
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2}-.0065313{col 34}{space 2} .0725454{col 45}{space 1}   -0.09{col 54}{space 3}0.928{col 62}{space 4}-.1488078{col 75}{space 3} .1357452
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} -.003606{col 34}{space 2} .0320684{col 45}{space 1}   -0.11{col 54}{space 3}0.910{col 62}{space 4}-.0664987{col 75}{space 3} .0592867
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.0143366{col 34}{space 2} .0143986{col 45}{space 1}   -1.00{col 54}{space 3}0.320{col 62}{space 4}-.0425753{col 75}{space 3} .0139021
{txt}football_consumption {c |}{col 22}{res}{space 2}-.0600295{col 34}{space 2} .0222812{col 45}{space 1}   -2.69{col 54}{space 3}0.007{col 62}{space 4}-.1037275{col 75}{space 3}-.0163315
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2} .1326543{col 34}{space 2} .0299841{col 45}{space 1}    4.42{col 54}{space 3}0.000{col 62}{space 4} .0738493{col 75}{space 3} .1914592
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} -.113919{col 34}{space 2} .0661045{col 45}{space 1}   -1.72{col 54}{space 3}0.085{col 62}{space 4}-.2435635{col 75}{space 3} .0157256
{txt}world_regions_russia {c |}{col 22}{res}{space 2}-.1153143{col 34}{space 2} .0314857{col 45}{space 1}   -3.66{col 54}{space 3}0.000{col 62}{space 4}-.1770643{col 75}{space 3}-.0535644
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 3.773005{col 34}{space 2} .1771202{col 45}{space 1}   21.30{col 54}{space 3}0.000{col 62}{space 4} 3.425636{col 75}{space 3} 4.120374
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     1,923
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:wave}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}wave {c |}{col 14}{res}{space 2}-.0657255{col 26}{space 2} .0481858{col 37}{space 1}   -1.36{col 46}{space 3}0.173{col 54}{space 4}-.1602277{col 67}{space 3} .0287767
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}file C:\Users\pxq521\Desktop\Glaessel_Scharpf_Edwards_Sportswashing_JoP_Replication\results_fig_4_2_95CI.dta saved

           Qatar: {c |}
  Technologically {c |}
          leading {c |}      Freq.     Percent        Cum.
{hline 18}{c +}{hline 35}
strongly disagree {c |}{res}        289       14.46       14.46
{txt}         disagree {c |}{res}        561       28.06       42.52
{txt}      neither nor {c |}{res}        807       40.37       82.89
{txt}            agree {c |}{res}        270       13.51       96.40
{txt}    stronly agree {c |}{res}         72        3.60      100.00
{txt}{hline 18}{c +}{hline 35}
            Total {c |}{res}      1,999      100.00

{txt}Linear regression                               Number of obs     = {res}     1,922
                                                {txt}F(11, 1910)       =  {res}     8.95
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0523
                                                {txt}Root MSE          =    {res} .97583

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}qatar_statements_1~h{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.0724159{col 34}{space 2} .0447369{col 45}{space 1}   -1.62{col 54}{space 3}0.106{col 62}{space 4}-.1601541{col 75}{space 3} .0153224
{txt}{space 17}age {c |}{col 22}{res}{space 2}-.0007676{col 34}{space 2} .0016505{col 45}{space 1}   -0.47{col 54}{space 3}0.642{col 62}{space 4}-.0040045{col 75}{space 3} .0024693
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.2131188{col 34}{space 2} .0472022{col 45}{space 1}   -4.52{col 54}{space 3}0.000{col 62}{space 4}-.3056921{col 75}{space 3}-.1205456
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}-.0224829{col 34}{space 2} .0302438{col 45}{space 1}   -0.74{col 54}{space 3}0.457{col 62}{space 4}-.0817972{col 75}{space 3} .0368314
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .0363801{col 34}{space 2}   .07049{col 45}{space 1}    0.52{col 54}{space 3}0.606{col 62}{space 4}-.1018654{col 75}{space 3} .1746255
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0858446{col 34}{space 2} .0294545{col 45}{space 1}    2.91{col 54}{space 3}0.004{col 62}{space 4} .0280782{col 75}{space 3}  .143611
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.0105507{col 34}{space 2}  .013635{col 45}{space 1}   -0.77{col 54}{space 3}0.439{col 62}{space 4}-.0372917{col 75}{space 3} .0161904
{txt}football_consumption {c |}{col 22}{res}{space 2} .0565688{col 34}{space 2} .0204685{col 45}{space 1}    2.76{col 54}{space 3}0.006{col 62}{space 4} .0164259{col 75}{space 3} .0967117
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}-.0121567{col 34}{space 2} .0278477{col 45}{space 1}   -0.44{col 54}{space 3}0.662{col 62}{space 4}-.0667717{col 75}{space 3} .0424583
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .2104789{col 34}{space 2} .0605355{col 45}{space 1}    3.48{col 54}{space 3}0.001{col 62}{space 4} .0917563{col 75}{space 3} .3292015
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .1787854{col 34}{space 2} .0284035{col 45}{space 1}    6.29{col 54}{space 3}0.000{col 62}{space 4} .1230804{col 75}{space 3} .2344905
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 2.210754{col 34}{space 2} .1607351{col 45}{space 1}   13.75{col 54}{space 3}0.000{col 62}{space 4} 1.895519{col 75}{space 3} 2.525989
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     1,922
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:wave}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}wave {c |}{col 14}{res}{space 2}-.0724159{col 26}{space 2} .0447369{col 37}{space 1}   -1.62{col 46}{space 3}0.106{col 54}{space 4}-.1601541{col 67}{space 3} .0153224
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}file C:\Users\pxq521\Desktop\Glaessel_Scharpf_Edwards_Sportswashing_JoP_Replication\results_fig_4_3_95CI.dta saved

      Qatar: Well {c |}
        organized {c |}      Freq.     Percent        Cum.
{hline 18}{c +}{hline 35}
strongly disagree {c |}{res}        257       12.83       12.83
{txt}         disagree {c |}{res}        386       19.27       32.10
{txt}      neither nor {c |}{res}        806       40.24       72.34
{txt}            agree {c |}{res}        449       22.42       94.76
{txt}    stronly agree {c |}{res}        105        5.24      100.00
{txt}{hline 18}{c +}{hline 35}
            Total {c |}{res}      2,003      100.00

{txt}Linear regression                               Number of obs     = {res}     1,926
                                                {txt}F(11, 1914)       =  {res}    19.07
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0971
                                                {txt}Root MSE          =    {res}   1.01

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}qatar_statements_1~a{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2} .0099744{col 34}{space 2}  .046345{col 45}{space 1}    0.22{col 54}{space 3}0.830{col 62}{space 4}-.0809176{col 75}{space 3} .1008664
{txt}{space 17}age {c |}{col 22}{res}{space 2} .0076932{col 34}{space 2} .0016824{col 45}{space 1}    4.57{col 54}{space 3}0.000{col 62}{space 4} .0043937{col 75}{space 3} .0109928
{txt}{space 16}male {c |}{col 22}{res}{space 2}   .18962{col 34}{space 2} .0498958{col 45}{space 1}    3.80{col 54}{space 3}0.000{col 62}{space 4} .0917642{col 75}{space 3} .2874759
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} .1151784{col 34}{space 2} .0316877{col 45}{space 1}    3.63{col 54}{space 3}0.000{col 62}{space 4} .0530323{col 75}{space 3} .1773244
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .0668715{col 34}{space 2} .0708132{col 45}{space 1}    0.94{col 54}{space 3}0.345{col 62}{space 4}-.0720076{col 75}{space 3} .2057507
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2}  .182304{col 34}{space 2} .0313272{col 45}{space 1}    5.82{col 54}{space 3}0.000{col 62}{space 4}  .120865{col 75}{space 3} .2437429
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2} .0138763{col 34}{space 2} .0136745{col 45}{space 1}    1.01{col 54}{space 3}0.310{col 62}{space 4}-.0129421{col 75}{space 3} .0406947
{txt}football_consumption {c |}{col 22}{res}{space 2}-.0005173{col 34}{space 2}  .021218{col 45}{space 1}   -0.02{col 54}{space 3}0.981{col 62}{space 4}-.0421302{col 75}{space 3} .0410956
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}  .012957{col 34}{space 2} .0287664{col 45}{space 1}    0.45{col 54}{space 3}0.652{col 62}{space 4}-.0434599{col 75}{space 3} .0693738
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .1382475{col 34}{space 2} .0601015{col 45}{space 1}    2.30{col 54}{space 3}0.022{col 62}{space 4} .0203761{col 75}{space 3} .2561189
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .2019131{col 34}{space 2} .0278542{col 45}{space 1}    7.25{col 54}{space 3}0.000{col 62}{space 4} .1472854{col 75}{space 3} .2565409
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 1.184688{col 34}{space 2} .1650377{col 45}{space 1}    7.18{col 54}{space 3}0.000{col 62}{space 4} .8610151{col 75}{space 3} 1.508361
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     1,926
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:wave}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}wave {c |}{col 14}{res}{space 2} .0099744{col 26}{space 2}  .046345{col 37}{space 1}    0.22{col 46}{space 3}0.830{col 54}{space 4}-.0809176{col 67}{space 3} .1008664
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}file C:\Users\pxq521\Desktop\Glaessel_Scharpf_Edwards_Sportswashing_JoP_Replication\results_fig_4_4_95CI.dta saved

Qatar: Attractive {c |}
           travel {c |}
      destination {c |}      Freq.     Percent        Cum.
{hline 18}{c +}{hline 35}
strongly disagree {c |}{res}        586       29.30       29.30
{txt}         disagree {c |}{res}        520       26.00       55.30
{txt}      neither nor {c |}{res}        582       29.10       84.40
{txt}            agree {c |}{res}        226       11.30       95.70
{txt}    stronly agree {c |}{res}         86        4.30      100.00
{txt}{hline 18}{c +}{hline 35}
            Total {c |}{res}      2,000      100.00

{txt}Linear regression                               Number of obs     = {res}     1,923
                                                {txt}F(11, 1911)       =  {res}    14.08
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0822
                                                {txt}Root MSE          =    {res} 1.0891

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}qatar_statements_1~l{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.0551187{col 34}{space 2} .0498533{col 45}{space 1}   -1.11{col 54}{space 3}0.269{col 62}{space 4}-.1528913{col 75}{space 3}  .042654
{txt}{space 17}age {c |}{col 22}{res}{space 2} .0008545{col 34}{space 2}  .001832{col 45}{space 1}    0.47{col 54}{space 3}0.641{col 62}{space 4}-.0027384{col 75}{space 3} .0044474
{txt}{space 16}male {c |}{col 22}{res}{space 2}  .107697{col 34}{space 2} .0527727{col 45}{space 1}    2.04{col 54}{space 3}0.041{col 62}{space 4} .0041988{col 75}{space 3} .2111951
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}-.0554333{col 34}{space 2} .0331586{col 45}{space 1}   -1.67{col 54}{space 3}0.095{col 62}{space 4} -.120464{col 75}{space 3} .0095975
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .1198821{col 34}{space 2} .0788331{col 45}{space 1}    1.52{col 54}{space 3}0.128{col 62}{space 4}-.0347258{col 75}{space 3} .2744901
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0636523{col 34}{space 2} .0329989{col 45}{space 1}    1.93{col 54}{space 3}0.054{col 62}{space 4}-.0010653{col 75}{space 3} .1283699
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.0012985{col 34}{space 2} .0149608{col 45}{space 1}   -0.09{col 54}{space 3}0.931{col 62}{space 4}-.0306397{col 75}{space 3} .0280427
{txt}football_consumption {c |}{col 22}{res}{space 2} .1141267{col 34}{space 2} .0230758{col 45}{space 1}    4.95{col 54}{space 3}0.000{col 62}{space 4} .0688703{col 75}{space 3}  .159383
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}-.1180789{col 34}{space 2} .0304079{col 45}{space 1}   -3.88{col 54}{space 3}0.000{col 62}{space 4}-.1777151{col 75}{space 3}-.0584427
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .1988068{col 34}{space 2} .0673587{col 45}{space 1}    2.95{col 54}{space 3}0.003{col 62}{space 4} .0667026{col 75}{space 3}  .330911
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .2569731{col 34}{space 2} .0323796{col 45}{space 1}    7.94{col 54}{space 3}0.000{col 62}{space 4}   .19347{col 75}{space 3} .3204761
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 1.722774{col 34}{space 2} .1775884{col 45}{space 1}    9.70{col 54}{space 3}0.000{col 62}{space 4} 1.374487{col 75}{space 3} 2.071062
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     1,923
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:wave}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}wave {c |}{col 14}{res}{space 2}-.0551187{col 26}{space 2} .0498533{col 37}{space 1}   -1.11{col 46}{space 3}0.269{col 54}{space 4}-.1528913{col 67}{space 3}  .042654
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}file C:\Users\pxq521\Desktop\Glaessel_Scharpf_Edwards_Sportswashing_JoP_Replication\results_fig_4_5_95CI.dta saved

       Qatar: Bad {c |}
      country for {c |}
  migrant workers {c |}      Freq.     Percent        Cum.
{hline 18}{c +}{hline 35}
strongly disagree {c |}{res}         45        2.26        2.26
{txt}         disagree {c |}{res}         88        4.42        6.68
{txt}      neither nor {c |}{res}        462       23.19       29.87
{txt}            agree {c |}{res}        504       25.30       55.17
{txt}    stronly agree {c |}{res}        893       44.83      100.00
{txt}{hline 18}{c +}{hline 35}
            Total {c |}{res}      1,992      100.00

{txt}Linear regression                               Number of obs     = {res}     1,918
                                                {txt}F(11, 1906)       =  {res}    37.67
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1614
                                                {txt}Root MSE          =    {res} .93773

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}  qat_state_2_worker{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.0113182{col 34}{space 2} .0430703{col 45}{space 1}   -0.26{col 54}{space 3}0.793{col 62}{space 4} -.095788{col 75}{space 3} .0731517
{txt}{space 17}age {c |}{col 22}{res}{space 2} .0108744{col 34}{space 2} .0015938{col 45}{space 1}    6.82{col 54}{space 3}0.000{col 62}{space 4} .0077488{col 75}{space 3} .0140001
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.0098641{col 34}{space 2} .0457943{col 45}{space 1}   -0.22{col 54}{space 3}0.829{col 62}{space 4}-.0996764{col 75}{space 3} .0799482
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} .0776773{col 34}{space 2} .0294597{col 45}{space 1}    2.64{col 54}{space 3}0.008{col 62}{space 4} .0199006{col 75}{space 3} .1354541
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2}-.0112344{col 34}{space 2} .0667162{col 45}{space 1}   -0.17{col 54}{space 3}0.866{col 62}{space 4}-.1420789{col 75}{space 3} .1196101
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0994344{col 34}{space 2} .0292651{col 45}{space 1}    3.40{col 54}{space 3}0.001{col 62}{space 4} .0420395{col 75}{space 3} .1568293
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.0699417{col 34}{space 2} .0123778{col 45}{space 1}   -5.65{col 54}{space 3}0.000{col 62}{space 4}-.0942171{col 75}{space 3}-.0456663
{txt}football_consumption {c |}{col 22}{res}{space 2}-.0560446{col 34}{space 2} .0198492{col 45}{space 1}   -2.82{col 54}{space 3}0.005{col 62}{space 4}-.0949731{col 75}{space 3}-.0171161
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}  .226407{col 34}{space 2} .0270135{col 45}{space 1}    8.38{col 54}{space 3}0.000{col 62}{space 4} .1734279{col 75}{space 3} .2793862
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2}-.1700872{col 34}{space 2}  .060195{col 45}{space 1}   -2.83{col 54}{space 3}0.005{col 62}{space 4}-.2881423{col 75}{space 3}-.0520321
{txt}world_regions_russia {c |}{col 22}{res}{space 2}-.2233032{col 34}{space 2} .0275714{col 45}{space 1}   -8.10{col 54}{space 3}0.000{col 62}{space 4}-.2773765{col 75}{space 3}-.1692299
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 3.580252{col 34}{space 2} .1614554{col 45}{space 1}   22.17{col 54}{space 3}0.000{col 62}{space 4} 3.263604{col 75}{space 3}   3.8969
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     1,918
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:wave}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}wave {c |}{col 14}{res}{space 2}-.0113182{col 26}{space 2} .0430703{col 37}{space 1}   -0.26{col 46}{space 3}0.793{col 54}{space 4} -.095788{col 67}{space 3} .0731517
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}file C:\Users\pxq521\Desktop\Glaessel_Scharpf_Edwards_Sportswashing_JoP_Replication\results_fig_4_6_95CI.dta saved

  Qatar: Treating {c |}
         women as {c |}
     second-class {c |}
         citizens {c |}      Freq.     Percent        Cum.
{hline 18}{c +}{hline 35}
strongly disagree {c |}{res}         49        2.45        2.45
{txt}         disagree {c |}{res}         94        4.71        7.16
{txt}      neither nor {c |}{res}        385       19.28       26.44
{txt}            agree {c |}{res}        635       31.80       58.24
{txt}    stronly agree {c |}{res}        834       41.76      100.00
{txt}{hline 18}{c +}{hline 35}
            Total {c |}{res}      1,997      100.00

{txt}Linear regression                               Number of obs     = {res}     1,920
                                                {txt}F(11, 1908)       =  {res}    23.53
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1196
                                                {txt}Root MSE          =    {res} .94199

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}   qat_state_2_women{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.1125906{col 34}{space 2} .0431787{col 45}{space 1}   -2.61{col 54}{space 3}0.009{col 62}{space 4}-.1972729{col 75}{space 3}-.0279082
{txt}{space 17}age {c |}{col 22}{res}{space 2} .0105021{col 34}{space 2} .0016493{col 45}{space 1}    6.37{col 54}{space 3}0.000{col 62}{space 4} .0072674{col 75}{space 3} .0137368
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.1241634{col 34}{space 2} .0457682{col 45}{space 1}   -2.71{col 54}{space 3}0.007{col 62}{space 4}-.2139244{col 75}{space 3}-.0344024
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} .0212406{col 34}{space 2} .0301835{col 45}{space 1}    0.70{col 54}{space 3}0.482{col 62}{space 4}-.0379555{col 75}{space 3} .0804368
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2}-.0095471{col 34}{space 2} .0651164{col 45}{space 1}   -0.15{col 54}{space 3}0.883{col 62}{space 4}-.1372539{col 75}{space 3} .1181596
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2}  .008227{col 34}{space 2} .0297478{col 45}{space 1}    0.28{col 54}{space 3}0.782{col 62}{space 4}-.0501147{col 75}{space 3} .0665686
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.0390973{col 34}{space 2} .0132114{col 45}{space 1}   -2.96{col 54}{space 3}0.003{col 62}{space 4}-.0650076{col 75}{space 3}-.0131869
{txt}football_consumption {c |}{col 22}{res}{space 2}-.0801224{col 34}{space 2} .0197164{col 45}{space 1}   -4.06{col 54}{space 3}0.000{col 62}{space 4}-.1187903{col 75}{space 3}-.0414544
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2} .1771186{col 34}{space 2} .0271022{col 45}{space 1}    6.54{col 54}{space 3}0.000{col 62}{space 4} .1239656{col 75}{space 3} .2302716
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2}-.1197285{col 34}{space 2} .0615224{col 45}{space 1}   -1.95{col 54}{space 3}0.052{col 62}{space 4}-.2403867{col 75}{space 3} .0009297
{txt}world_regions_russia {c |}{col 22}{res}{space 2}-.2179734{col 34}{space 2} .0279876{col 45}{space 1}   -7.79{col 54}{space 3}0.000{col 62}{space 4}-.2728629{col 75}{space 3}-.1630838
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 4.047941{col 34}{space 2} .1611468{col 45}{space 1}   25.12{col 54}{space 3}0.000{col 62}{space 4} 3.731898{col 75}{space 3} 4.363983
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     1,920
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:wave}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}wave {c |}{col 14}{res}{space 2}-.1125906{col 26}{space 2} .0431787{col 37}{space 1}   -2.61{col 46}{space 3}0.009{col 54}{space 4}-.1972729{col 67}{space 3}-.0279082
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}file C:\Users\pxq521\Desktop\Glaessel_Scharpf_Edwards_Sportswashing_JoP_Replication\results_fig_4_7_95CI.dta saved

 Qatar: Dangerous {c |}
 country for gays {c |}
     and lesbians {c |}      Freq.     Percent        Cum.
{hline 18}{c +}{hline 35}
strongly disagree {c |}{res}         45        2.26        2.26
{txt}         disagree {c |}{res}         63        3.16        5.42
{txt}      neither nor {c |}{res}        278       13.95       19.37
{txt}            agree {c |}{res}        419       21.02       40.39
{txt}    stronly agree {c |}{res}      1,188       59.61      100.00
{txt}{hline 18}{c +}{hline 35}
            Total {c |}{res}      1,993      100.00

{txt}Linear regression                               Number of obs     = {res}     1,918
                                                {txt}F(11, 1906)       =  {res}    27.86
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1339
                                                {txt}Root MSE          =    {res} .90351

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}    qat_state_2_lgbt{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.0505474{col 34}{space 2} .0416052{col 45}{space 1}   -1.21{col 54}{space 3}0.225{col 62}{space 4}-.1321439{col 75}{space 3}  .031049
{txt}{space 17}age {c |}{col 22}{res}{space 2} .0123577{col 34}{space 2} .0015635{col 45}{space 1}    7.90{col 54}{space 3}0.000{col 62}{space 4} .0092914{col 75}{space 3}  .015424
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.1182529{col 34}{space 2} .0450853{col 45}{space 1}   -2.62{col 54}{space 3}0.009{col 62}{space 4}-.2066747{col 75}{space 3}-.0298311
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} .0721537{col 34}{space 2} .0304635{col 45}{space 1}    2.37{col 54}{space 3}0.018{col 62}{space 4} .0124085{col 75}{space 3}  .131899
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .0162392{col 34}{space 2} .0629396{col 45}{space 1}    0.26{col 54}{space 3}0.796{col 62}{space 4}-.1071985{col 75}{space 3}  .139677
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0264281{col 34}{space 2} .0284317{col 45}{space 1}    0.93{col 54}{space 3}0.353{col 62}{space 4}-.0293324{col 75}{space 3} .0821885
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.0299634{col 34}{space 2} .0124356{col 45}{space 1}   -2.41{col 54}{space 3}0.016{col 62}{space 4}-.0543522{col 75}{space 3}-.0055746
{txt}football_consumption {c |}{col 22}{res}{space 2} -.054541{col 34}{space 2} .0183672{col 45}{space 1}   -2.97{col 54}{space 3}0.003{col 62}{space 4}-.0905628{col 75}{space 3}-.0185191
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2} .2132289{col 34}{space 2} .0267141{col 45}{space 1}    7.98{col 54}{space 3}0.000{col 62}{space 4} .1608369{col 75}{space 3} .2656209
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2}-.1699935{col 34}{space 2} .0590829{col 45}{space 1}   -2.88{col 54}{space 3}0.004{col 62}{space 4}-.2858673{col 75}{space 3}-.0541196
{txt}world_regions_russia {c |}{col 22}{res}{space 2}-.1903035{col 34}{space 2} .0267905{col 45}{space 1}   -7.10{col 54}{space 3}0.000{col 62}{space 4}-.2428452{col 75}{space 3}-.1377618
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 3.802584{col 34}{space 2} .1625214{col 45}{space 1}   23.40{col 54}{space 3}0.000{col 62}{space 4} 3.483845{col 75}{space 3} 4.121322
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     1,918
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:wave}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}wave {c |}{col 14}{res}{space 2}-.0505474{col 26}{space 2} .0416052{col 37}{space 1}   -1.21{col 46}{space 3}0.225{col 54}{space 4}-.1321439{col 67}{space 3}  .031049
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}file C:\Users\pxq521\Desktop\Glaessel_Scharpf_Edwards_Sportswashing_JoP_Replication\results_fig_4_8_95CI.dta saved

{com}.         
.         *Loading data
.         use "$path\results_fig_4_1_95CI.dta", clear             
{txt}
{com}.         
.         forval j=2/8   {c -(}
{txt}  2{com}.                         append using "$path\results_fig_4_`j'_95CI.dta"
{txt}  3{com}.     {c )-}   
{txt}
{com}.         
.         *Extracting dependent variable
.         gen dv=regexs(1) if regexm(idstr,"([0-9]+)_([0-9])$")
{txt}
{com}.         
.         *Destringing variables
.         destring dv, replace
{txt}dv: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         
.         *Generating y-axis variable
.         sort dv
{txt}
{com}.         sum dv

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 10}dv {c |}{res}          8         4.5     2.44949          1          8
{txt}
{com}.         gen yaxis=dv*(-1)+r(max)
{txt}
{com}.         
.         *Graph
.         #delimit ;
{txt}delimiter now ;
{com}.         twoway (rspike min95 max95 yaxis if dv==7, horizontal lcolor(black) lwidth(*1.1))
>                    (rspike min95 max95 yaxis if dv!=7, horizontal lcolor(gs10) lwidth(*1.1))
>                    (scatter yaxis estimate if dv==7, mcolor(black) msize(*1.15))  
>                    (scatter yaxis estimate if dv!=7, mfcolor(white) mlcolor(gs10) msize(*1.25))  
>                    , 
>                         xline(0, lpattern(shortdash) lcolor(black) lwidth(*0.75)) 
>                         ysize(1)
>                         xsize(1.5)                      
>                         yscale(range(-.5 7.25) noextend titlegap(*+5))
>                         xscale(range(-.35 .35) noextend titlegap(*+7))
>                         ylabel(
>                         7 "internationally influential"
>                         6 "an aggressive country"
>                         5 "technologically leading"
>                         4 "well organized"
>                         3 "an attractive travel destination"
>                         2 "a bad country for migrant workers"
>                         1 "treating women as second-class citizens"
>                         0 "a dangerous country for gays and lesbians"
>                         , valuelabel angle(horizontal) labsize(*.9) glwidth(*0.75) glcolor(gs15) 
>                         )       
>                         xlabel(-.3(0.1).3, labsize(*.9))
>                         ytitle("")
>                         xtitle("Average marginal effect", size(*.9))
>                         graphregion(color(white) lcolor(white) lalign(outside)  margin(t=15 b=15))
>                         legend( off)
>                    ;
{res}{txt}
{com}.         #delimit cr             
{txt}delimiter now cr
{com}.         graph export "$path\figure_4.pdf", as(pdf) replace      
{txt}(file C:\Users\pxq521\Desktop\Glaessel_Scharpf_Edwards_Sportswashing_JoP_Replication\figure_4.pdf written in PDF format)

{com}.         
.         *Restoring data
.         restore
{txt}
{com}.         
.         
.         ****************************************************************************
.         *Figure 5. World Cup start effect on people's sympathy towards different world regions
.         ****************************************************************************    
.         
.         *Preserving data
.         preserve        
{txt}
{com}.         
.         *Control variables
.         #delimit ;
{txt}delimiter now ;
{com}.         global controls_3 = "
>                                                  age
>                                                  male
>                                                  education3 
>                                                  mig_backg 
>                                                  pol_interest 
>                                                  pol_left_right 
>                                                  football_consumption 
>                                                  football_reports
>                                                  born_gdr
>                                                  "
>         ;
{txt}
{com}.         #delimit cr     
{txt}delimiter now cr
{com}.                         
.         *Arab world
.         reg world_regions_arab wave $controls_3 world_regions_russia world_regions_us world_regions_asia world_regions_europe , robust 

{txt}Linear regression                               Number of obs     = {res}     1,906
                                                {txt}F(14, 1891)       =  {res}    46.08
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.2607
                                                {txt}Root MSE          =    {res} .64797

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}  world_regions_arab{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2} .0820856{col 34}{space 2} .0299606{col 45}{space 1}    2.74{col 54}{space 3}0.006{col 62}{space 4} .0233264{col 75}{space 3} .1408449
{txt}{space 17}age {c |}{col 22}{res}{space 2} .0000325{col 34}{space 2} .0011335{col 45}{space 1}    0.03{col 54}{space 3}0.977{col 62}{space 4}-.0021905{col 75}{space 3} .0022555
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.0173793{col 34}{space 2} .0318368{col 45}{space 1}   -0.55{col 54}{space 3}0.585{col 62}{space 4}-.0798184{col 75}{space 3} .0450597
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} .0833294{col 34}{space 2} .0206741{col 45}{space 1}    4.03{col 54}{space 3}0.000{col 62}{space 4}  .042783{col 75}{space 3} .1238758
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2}-.0645625{col 34}{space 2} .0476725{col 45}{space 1}   -1.35{col 54}{space 3}0.176{col 62}{space 4}-.1580587{col 75}{space 3} .0289337
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2}-.0291425{col 34}{space 2}  .020306{col 45}{space 1}   -1.44{col 54}{space 3}0.151{col 62}{space 4} -.068967{col 75}{space 3} .0106821
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2} -.038169{col 34}{space 2} .0093519{col 45}{space 1}   -4.08{col 54}{space 3}0.000{col 62}{space 4}-.0565101{col 75}{space 3}-.0198279
{txt}football_consumption {c |}{col 22}{res}{space 2} .0604145{col 34}{space 2} .0135899{col 45}{space 1}    4.45{col 54}{space 3}0.000{col 62}{space 4} .0337617{col 75}{space 3} .0870672
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}-.0579587{col 34}{space 2}  .018471{col 45}{space 1}   -3.14{col 54}{space 3}0.002{col 62}{space 4}-.0941844{col 75}{space 3}-.0217331
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .0465405{col 34}{space 2}  .042532{col 45}{space 1}    1.09{col 54}{space 3}0.274{col 62}{space 4} -.036874{col 75}{space 3}  .129955
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .2439019{col 34}{space 2} .0217578{col 45}{space 1}   11.21{col 54}{space 3}0.000{col 62}{space 4} .2012299{col 75}{space 3} .2865738
{txt}{space 4}world_regions_us {c |}{col 22}{res}{space 2} .1229547{col 34}{space 2}  .025877{col 45}{space 1}    4.75{col 54}{space 3}0.000{col 62}{space 4} .0722043{col 75}{space 3} .1737051
{txt}{space 2}world_regions_asia {c |}{col 22}{res}{space 2}  .284845{col 34}{space 2} .0260764{col 45}{space 1}   10.92{col 54}{space 3}0.000{col 62}{space 4} .2337036{col 75}{space 3} .3359865
{txt}world_regions_europe {c |}{col 22}{res}{space 2}-.0383379{col 34}{space 2} .0283691{col 45}{space 1}   -1.35{col 54}{space 3}0.177{col 62}{space 4}-.0939759{col 75}{space 3} .0173002
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} .6777012{col 34}{space 2} .1288044{col 45}{space 1}    5.26{col 54}{space 3}0.000{col 62}{space 4} .4250876{col 75}{space 3} .9303149
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         eststo model_3_1_1
{txt}
{com}.         margins , dydx(wave) at((asobserved) _all) level(95) post       
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     1,906
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:wave}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}wave {c |}{col 14}{res}{space 2} .0820856{col 26}{space 2} .0299606{col 37}{space 1}    2.74{col 46}{space 3}0.006{col 54}{space 4} .0233264{col 67}{space 3} .1408449
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         parmest, saving("$path\results_fig_5_1_95CI.dta", replace) idstr(model_3_1_1) format(estimate min95 max95)                      
{txt}file C:\Users\pxq521\Desktop\Glaessel_Scharpf_Edwards_Sportswashing_JoP_Replication\results_fig_5_1_95CI.dta saved

{com}. 
.         *US
.         reg world_regions_us wave $controls_3 world_regions_russia world_regions_arab world_regions_asia world_regions_europe , robust 

{txt}Linear regression                               Number of obs     = {res}     1,906
                                                {txt}F(14, 1891)       =  {res}    32.77
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.2039
                                                {txt}Root MSE          =    {res} .68882

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}    world_regions_us{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}  -.04198{col 34}{space 2} .0318691{col 45}{space 1}   -1.32{col 54}{space 3}0.188{col 62}{space 4}-.1044823{col 75}{space 3} .0205222
{txt}{space 17}age {c |}{col 22}{res}{space 2}-.0020944{col 34}{space 2} .0012021{col 45}{space 1}   -1.74{col 54}{space 3}0.082{col 62}{space 4} -.004452{col 75}{space 3} .0002633
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.0379272{col 34}{space 2} .0338769{col 45}{space 1}   -1.12{col 54}{space 3}0.263{col 62}{space 4}-.1043672{col 75}{space 3} .0285127
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}-.0732144{col 34}{space 2}  .021674{col 45}{space 1}   -3.38{col 54}{space 3}0.001{col 62}{space 4}-.1157218{col 75}{space 3} -.030707
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2}-.1651704{col 34}{space 2} .0506315{col 45}{space 1}   -3.26{col 54}{space 3}0.001{col 62}{space 4}-.2644699{col 75}{space 3}-.0658708
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2}-.0155156{col 34}{space 2} .0216249{col 45}{space 1}   -0.72{col 54}{space 3}0.473{col 62}{space 4}-.0579267{col 75}{space 3} .0268955
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2} .0199303{col 34}{space 2} .0098272{col 45}{space 1}    2.03{col 54}{space 3}0.043{col 62}{space 4} .0006569{col 75}{space 3} .0392037
{txt}football_consumption {c |}{col 22}{res}{space 2} .0464793{col 34}{space 2} .0144047{col 45}{space 1}    3.23{col 54}{space 3}0.001{col 62}{space 4} .0182286{col 75}{space 3}   .07473
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}-.0513555{col 34}{space 2} .0198797{col 45}{space 1}   -2.58{col 54}{space 3}0.010{col 62}{space 4}-.0903439{col 75}{space 3}-.0123671
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2}-.1166248{col 34}{space 2} .0466976{col 45}{space 1}   -2.50{col 54}{space 3}0.013{col 62}{space 4} -.208209{col 75}{space 3}-.0250405
{txt}world_regions_russia {c |}{col 22}{res}{space 2}-.0837211{col 34}{space 2} .0238961{col 45}{space 1}   -3.50{col 54}{space 3}0.000{col 62}{space 4}-.1305866{col 75}{space 3}-.0368556
{txt}{space 2}world_regions_arab {c |}{col 22}{res}{space 2} .1389444{col 34}{space 2} .0288323{col 45}{space 1}    4.82{col 54}{space 3}0.000{col 62}{space 4} .0823979{col 75}{space 3} .1954908
{txt}{space 2}world_regions_asia {c |}{col 22}{res}{space 2} .1784225{col 34}{space 2} .0297461{col 45}{space 1}    6.00{col 54}{space 3}0.000{col 62}{space 4} .1200838{col 75}{space 3} .2367611
{txt}world_regions_europe {c |}{col 22}{res}{space 2} .3655252{col 34}{space 2} .0289107{col 45}{space 1}   12.64{col 54}{space 3}0.000{col 62}{space 4} .3088251{col 75}{space 3} .4222254
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}  1.20434{col 34}{space 2} .1354784{col 45}{space 1}    8.89{col 54}{space 3}0.000{col 62}{space 4} .9386375{col 75}{space 3} 1.470043
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         eststo model_3_2_1      
{txt}
{com}.         margins , dydx(wave) at((asobserved) _all) level(95) post       
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     1,906
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:wave}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}wave {c |}{col 14}{res}{space 2}  -.04198{col 26}{space 2} .0318691{col 37}{space 1}   -1.32{col 46}{space 3}0.188{col 54}{space 4}-.1044823{col 67}{space 3} .0205222
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         parmest, saving("$path\results_fig_5_2_95CI.dta", replace) idstr(model_3_2_1) format(estimate min95 max95)      
{txt}file C:\Users\pxq521\Desktop\Glaessel_Scharpf_Edwards_Sportswashing_JoP_Replication\results_fig_5_2_95CI.dta saved

{com}.                 
.         *Asia
.         reg world_regions_asia wave $controls_3 world_regions_russia world_regions_arab world_regions_us world_regions_europe , robust 

{txt}Linear regression                               Number of obs     = {res}     1,906
                                                {txt}F(14, 1891)       =  {res}    54.95
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.2742
                                                {txt}Root MSE          =    {res} .61102

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}  world_regions_asia{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.0321675{col 34}{space 2} .0281334{col 45}{space 1}   -1.14{col 54}{space 3}0.253{col 62}{space 4}-.0873432{col 75}{space 3} .0230082
{txt}{space 17}age {c |}{col 22}{res}{space 2}-.0017932{col 34}{space 2} .0010326{col 45}{space 1}   -1.74{col 54}{space 3}0.083{col 62}{space 4}-.0038184{col 75}{space 3} .0002319
{txt}{space 16}male {c |}{col 22}{res}{space 2} .0865078{col 34}{space 2} .0307118{col 45}{space 1}    2.82{col 54}{space 3}0.005{col 62}{space 4} .0262751{col 75}{space 3} .1467404
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} .0224345{col 34}{space 2} .0196922{col 45}{space 1}    1.14{col 54}{space 3}0.255{col 62}{space 4}-.0161862{col 75}{space 3} .0610552
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .0854065{col 34}{space 2} .0442629{col 45}{space 1}    1.93{col 54}{space 3}0.054{col 62}{space 4}-.0014027{col 75}{space 3} .1722157
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0353036{col 34}{space 2} .0187467{col 45}{space 1}    1.88{col 54}{space 3}0.060{col 62}{space 4}-.0014627{col 75}{space 3} .0720699
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2} -.016572{col 34}{space 2} .0080306{col 45}{space 1}   -2.06{col 54}{space 3}0.039{col 62}{space 4}-.0323218{col 75}{space 3}-.0008221
{txt}football_consumption {c |}{col 22}{res}{space 2}-.0284977{col 34}{space 2} .0130073{col 45}{space 1}   -2.19{col 54}{space 3}0.029{col 62}{space 4}-.0540077{col 75}{space 3}-.0029876
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2} .0101536{col 34}{space 2} .0172786{col 45}{space 1}    0.59{col 54}{space 3}0.557{col 62}{space 4}-.0237335{col 75}{space 3} .0440407
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .0660689{col 34}{space 2} .0391045{col 45}{space 1}    1.69{col 54}{space 3}0.091{col 62}{space 4}-.0106235{col 75}{space 3} .1427614
{txt}world_regions_russia {c |}{col 22}{res}{space 2}  .179431{col 34}{space 2} .0194454{col 45}{space 1}    9.23{col 54}{space 3}0.000{col 62}{space 4} .1412944{col 75}{space 3} .2175677
{txt}{space 2}world_regions_arab {c |}{col 22}{res}{space 2} .2532819{col 34}{space 2}  .023364{col 45}{space 1}   10.84{col 54}{space 3}0.000{col 62}{space 4} .2074601{col 75}{space 3} .2991038
{txt}{space 4}world_regions_us {c |}{col 22}{res}{space 2} .1403942{col 34}{space 2} .0231259{col 45}{space 1}    6.07{col 54}{space 3}0.000{col 62}{space 4} .0950392{col 75}{space 3} .1857492
{txt}world_regions_europe {c |}{col 22}{res}{space 2} .1789149{col 34}{space 2}  .025171{col 45}{space 1}    7.11{col 54}{space 3}0.000{col 62}{space 4}  .129549{col 75}{space 3} .2282809
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} .8526652{col 34}{space 2} .1176771{col 45}{space 1}    7.25{col 54}{space 3}0.000{col 62}{space 4} .6218746{col 75}{space 3} 1.083456
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         eststo model_3_3_1
{txt}
{com}.         margins , dydx(wave) at((asobserved) _all) level(95) post       
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     1,906
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:wave}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}wave {c |}{col 14}{res}{space 2}-.0321675{col 26}{space 2} .0281334{col 37}{space 1}   -1.14{col 46}{space 3}0.253{col 54}{space 4}-.0873432{col 67}{space 3} .0230082
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         parmest, saving("$path\results_fig_5_3_95CI.dta", replace) idstr(model_3_3_1) format(estimate min95 max95)      
{txt}file C:\Users\pxq521\Desktop\Glaessel_Scharpf_Edwards_Sportswashing_JoP_Replication\results_fig_5_3_95CI.dta saved

{com}.                 
.         *Europe
.         reg world_regions_europe wave $controls_3 world_regions_russia world_regions_arab world_regions_asia world_regions_us , robust 

{txt}Linear regression                               Number of obs     = {res}     1,906
                                                {txt}F(14, 1891)       =  {res}    35.77
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.2450
                                                {txt}Root MSE          =    {res} .60306

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}world_regions_europe{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.0054433{col 34}{space 2} .0278333{col 45}{space 1}   -0.20{col 54}{space 3}0.845{col 62}{space 4}-.0600305{col 75}{space 3}  .049144
{txt}{space 17}age {c |}{col 22}{res}{space 2} .0044168{col 34}{space 2} .0010235{col 45}{space 1}    4.32{col 54}{space 3}0.000{col 62}{space 4} .0024094{col 75}{space 3} .0064241
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.0246173{col 34}{space 2}  .029668{col 45}{space 1}   -0.83{col 54}{space 3}0.407{col 62}{space 4}-.0828028{col 75}{space 3} .0335681
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} .1390752{col 34}{space 2} .0191804{col 45}{space 1}    7.25{col 54}{space 3}0.000{col 62}{space 4} .1014583{col 75}{space 3} .1766921
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .0251834{col 34}{space 2} .0429337{col 45}{space 1}    0.59{col 54}{space 3}0.558{col 62}{space 4}-.0590191{col 75}{space 3} .1093858
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0910152{col 34}{space 2} .0189729{col 45}{space 1}    4.80{col 54}{space 3}0.000{col 62}{space 4} .0538053{col 75}{space 3} .1282252
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.0004783{col 34}{space 2} .0083607{col 45}{space 1}   -0.06{col 54}{space 3}0.954{col 62}{space 4}-.0168756{col 75}{space 3} .0159189
{txt}football_consumption {c |}{col 22}{res}{space 2}-.0098812{col 34}{space 2} .0127881{col 45}{space 1}   -0.77{col 54}{space 3}0.440{col 62}{space 4}-.0349614{col 75}{space 3} .0151991
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2} .0910323{col 34}{space 2} .0173831{col 45}{space 1}    5.24{col 54}{space 3}0.000{col 62}{space 4} .0569403{col 75}{space 3} .1251243
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2}-.1166808{col 34}{space 2} .0364585{col 45}{space 1}   -3.20{col 54}{space 3}0.001{col 62}{space 4} -.188184{col 75}{space 3}-.0451777
{txt}world_regions_russia {c |}{col 22}{res}{space 2}-.0682729{col 34}{space 2} .0195941{col 45}{space 1}   -3.48{col 54}{space 3}0.001{col 62}{space 4}-.1067012{col 75}{space 3}-.0298447
{txt}{space 2}world_regions_arab {c |}{col 22}{res}{space 2}-.0332078{col 34}{space 2} .0245594{col 45}{space 1}   -1.35{col 54}{space 3}0.176{col 62}{space 4}-.0813742{col 75}{space 3} .0149586
{txt}{space 2}world_regions_asia {c |}{col 22}{res}{space 2} .1742861{col 34}{space 2}  .024931{col 45}{space 1}    6.99{col 54}{space 3}0.000{col 62}{space 4} .1253908{col 75}{space 3} .2231813
{txt}{space 4}world_regions_us {c |}{col 22}{res}{space 2} .2801774{col 34}{space 2} .0231552{col 45}{space 1}   12.10{col 54}{space 3}0.000{col 62}{space 4}  .234765{col 75}{space 3} .3255897
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 1.155425{col 34}{space 2}  .122381{col 45}{space 1}    9.44{col 54}{space 3}0.000{col 62}{space 4} .9154091{col 75}{space 3} 1.395441
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         eststo model_3_4_1      
{txt}
{com}.         margins , dydx(wave) at((asobserved) _all) level(95) post       
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     1,906
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:wave}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}wave {c |}{col 14}{res}{space 2}-.0054433{col 26}{space 2} .0278333{col 37}{space 1}   -0.20{col 46}{space 3}0.845{col 54}{space 4}-.0600305{col 67}{space 3}  .049144
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         parmest, saving("$path\results_fig_5_4_95CI.dta", replace) idstr(model_3_4_1) format(estimate min95 max95)      
{txt}file C:\Users\pxq521\Desktop\Glaessel_Scharpf_Edwards_Sportswashing_JoP_Replication\results_fig_5_4_95CI.dta saved

{com}.         
.         *Loading data
.         use "$path\results_fig_5_1_95CI.dta", clear             
{txt}
{com}.         
.         forval j=2/4   {c -(}
{txt}  2{com}.                         append using "$path\results_fig_5_`j'_95CI.dta"
{txt}  3{com}.     {c )-}   
{txt}
{com}.         
.         *Extracting dependent variable
.         gen dv=regexs(1) if regexm(idstr,"([0-9]+)_([0-9])$")
{txt}
{com}.         
.         *Destringing variables
.         destring dv, replace
{txt}dv: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         
.         *Generating y-axis variable
.         sort dv
{txt}
{com}.         sum dv

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 10}dv {c |}{res}          4         2.5    1.290994          1          4
{txt}
{com}.         
.         gen yaxis=4 if dv==1
{txt}(3 missing values generated)

{com}.         replace yaxis=3 if dv==3
{txt}(1 real change made)

{com}.         replace yaxis=2 if dv==4
{txt}(1 real change made)

{com}.         replace yaxis=1 if dv==2
{txt}(1 real change made)

{com}.                         
.         *Graph
.         #delimit ;
{txt}delimiter now ;
{com}.         twoway (rspike min95 max95 yaxis if dv==1, horizontal lcolor(black) lwidth(*1.1))
>                    (rspike min95 max95 yaxis if dv!=1, horizontal lcolor(gs10) lwidth(*1.1))
>                    (scatter yaxis estimate if dv==1, mcolor(black) msize(*1.15))  
>                    (scatter yaxis estimate if dv!=1, mfcolor(white) mlcolor(gs10) msize(*1.25)) 
>                    , 
>                         xline(0, lpattern(shortdash) lcolor(black) lwidth(*0.75)) 
>                         ysize(1)
>                         xsize(1.2)                      
>                         yscale(range(0.75 4.25) noextend titlegap(*+5))
>                         xscale(range(-.35 .35) noextend titlegap(*+7))
>                         ylabel(
>                         4 "Arab world"
>                         3 "Asia"
>                         2 "Western Europe"
>                         1 "United States"
>                         , valuelabel angle(horizontal) labsize(*.9) glwidth(*0.75) glcolor(gs15) 
>                         )       
>                         xlabel(-.3(0.1).3, labsize(*.9))
>                         ytitle("")
>                         xtitle("Average marginal effect", size(*.9))
>                         graphregion(color(white) lcolor(white) lalign(outside) margin(t=25 b=20))
>                         legend( off 
>                         )
>                    ;
{res}{txt}
{com}.         #delimit cr                     
{txt}delimiter now cr
{com}.         graph export "$path\figure_5.pdf", as(pdf) replace      
{txt}(file C:\Users\pxq521\Desktop\Glaessel_Scharpf_Edwards_Sportswashing_JoP_Replication\figure_5.pdf written in PDF format)

{com}.                 
.         *Restoring data
.         restore 
{txt}
{com}.         
.         
.         ****************************************************************************
.         *Figure 6. World Cup start effect on agreement with the statements: "German ..."
.         ****************************************************************************    
.         
.         *Preserving data
.         preserve                
{txt}
{com}.         
.         *Control variables
.         #delimit ;
{txt}delimiter now ;
{com}.         global controls_4 = "
>                                                  age
>                                                  male
>                                                  education3 
>                                                  mig_backg 
>                                                  pol_interest 
>                                                  pol_left_right 
>                                                  football_consumption 
>                                                  football_reports
>                                                  born_gdr
>                                                  world_regions_russia
>                                                  "
>         ;
{txt}
{com}.         #delimit cr     
{txt}delimiter now cr
{com}.                                                         
.         *Dependent variables
.         #delimit ;
{txt}delimiter now ;
{com}.         tokenize                           "
>                                                    qat_state_2_speech
>                                                    qat_state_2_critic
>                                                    pol_media_opinion
>                                                    football_boycott_pol 
>                                                    ";
{txt}
{com}.         #delimit cr     
{txt}delimiter now cr
{com}. 
.         *Models
.         forval j=1/4  {c -(} 
{txt}  2{com}.         tab ``j''
{txt}  3{com}.         
.         reg ``j'' wave $controls_4 , robust
{txt}  4{com}.         eststo model_4_`j'_1    
{txt}  5{com}.         margins , dydx(wave) at((asobserved) _all) level(95) post       
{txt}  6{com}.         parmest, saving("$path\results_fig_6_`j'_95CI.dta", replace) idstr(model_4_`j'_1) format(estimate min95 max95)          
{txt}  7{com}. 
.         {c )-}               

 {txt}Germany: Freedom {c |}
    of expression {c |}
 similar to Qatar {c |}      Freq.     Percent        Cum.
{hline 18}{c +}{hline 35}
strongly disagree {c |}{res}        686       34.42       34.42
{txt}         disagree {c |}{res}        502       25.19       59.61
{txt}      neither nor {c |}{res}        490       24.59       84.19
{txt}            agree {c |}{res}        197        9.88       94.08
{txt}    stronly agree {c |}{res}        118        5.92      100.00
{txt}{hline 18}{c +}{hline 35}
            Total {c |}{res}      1,993      100.00

{txt}Linear regression                               Number of obs     = {res}     1,918
                                                {txt}F(11, 1906)       =  {res}    35.28
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1693
                                                {txt}Root MSE          =    {res} 1.1015

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}  qat_state_2_speech{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}  .122944{col 34}{space 2} .0502009{col 45}{space 1}    2.45{col 54}{space 3}0.014{col 62}{space 4} .0244896{col 75}{space 3} .2213984
{txt}{space 17}age {c |}{col 22}{res}{space 2}-.0054834{col 34}{space 2} .0018729{col 45}{space 1}   -2.93{col 54}{space 3}0.003{col 62}{space 4}-.0091565{col 75}{space 3}-.0018104
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.0904161{col 34}{space 2} .0549072{col 45}{space 1}   -1.65{col 54}{space 3}0.100{col 62}{space 4}-.1981006{col 75}{space 3} .0172684
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}-.1623878{col 34}{space 2} .0340912{col 45}{space 1}   -4.76{col 54}{space 3}0.000{col 62}{space 4}-.2292478{col 75}{space 3}-.0955279
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .1150156{col 34}{space 2} .0739273{col 45}{space 1}    1.56{col 54}{space 3}0.120{col 62}{space 4}-.0299713{col 75}{space 3} .2600024
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0395896{col 34}{space 2}  .034457{col 45}{space 1}    1.15{col 54}{space 3}0.251{col 62}{space 4}-.0279877{col 75}{space 3}  .107167
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}  .090189{col 34}{space 2} .0152218{col 45}{space 1}    5.92{col 54}{space 3}0.000{col 62}{space 4} .0603359{col 75}{space 3} .1200421
{txt}football_consumption {c |}{col 22}{res}{space 2} .0572032{col 34}{space 2} .0242235{col 45}{space 1}    2.36{col 54}{space 3}0.018{col 62}{space 4} .0096958{col 75}{space 3} .1047106
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}-.1862135{col 34}{space 2} .0321038{col 45}{space 1}   -5.80{col 54}{space 3}0.000{col 62}{space 4}-.2491758{col 75}{space 3}-.1232511
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .1962586{col 34}{space 2}  .070087{col 45}{space 1}    2.80{col 54}{space 3}0.005{col 62}{space 4} .0588033{col 75}{space 3} .3337138
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .3971369{col 34}{space 2} .0328148{col 45}{space 1}   12.10{col 54}{space 3}0.000{col 62}{space 4} .3327802{col 75}{space 3} .4614936
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 1.778172{col 34}{space 2} .1831895{col 45}{space 1}    9.71{col 54}{space 3}0.000{col 62}{space 4} 1.418899{col 75}{space 3} 2.137445
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     1,918
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:wave}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}wave {c |}{col 14}{res}{space 2}  .122944{col 26}{space 2} .0502009{col 37}{space 1}    2.45{col 46}{space 3}0.014{col 54}{space 4} .0244896{col 67}{space 3} .2213984
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}file C:\Users\pxq521\Desktop\Glaessel_Scharpf_Edwards_Sportswashing_JoP_Replication\results_fig_6_1_95CI.dta saved

Germany: Too much {c |}
     criticism by {c |}
            media {c |}      Freq.     Percent        Cum.
{hline 18}{c +}{hline 35}
strongly disagree {c |}{res}        559       28.06       28.06
{txt}         disagree {c |}{res}        528       26.51       54.57
{txt}      neither nor {c |}{res}        515       25.85       80.42
{txt}            agree {c |}{res}        260       13.05       93.47
{txt}    stronly agree {c |}{res}        130        6.53      100.00
{txt}{hline 18}{c +}{hline 35}
            Total {c |}{res}      1,992      100.00

{txt}Linear regression                               Number of obs     = {res}     1,918
                                                {txt}F(11, 1906)       =  {res}    17.40
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1010
                                                {txt}Root MSE          =    {res} 1.1475

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}  qat_state_2_critic{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2} .1135781{col 34}{space 2} .0526216{col 45}{space 1}    2.16{col 54}{space 3}0.031{col 62}{space 4} .0103762{col 75}{space 3} .2167801
{txt}{space 17}age {c |}{col 22}{res}{space 2}-.0036841{col 34}{space 2} .0019573{col 45}{space 1}   -1.88{col 54}{space 3}0.060{col 62}{space 4}-.0075228{col 75}{space 3} .0001547
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.0577062{col 34}{space 2}  .056314{col 45}{space 1}   -1.02{col 54}{space 3}0.306{col 62}{space 4}-.1681497{col 75}{space 3} .0527373
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}-.0697996{col 34}{space 2} .0356254{col 45}{space 1}   -1.96{col 54}{space 3}0.050{col 62}{space 4}-.1396684{col 75}{space 3} .0000693
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .0662922{col 34}{space 2} .0771404{col 45}{space 1}    0.86{col 54}{space 3}0.390{col 62}{space 4}-.0849963{col 75}{space 3} .2175807
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0131041{col 34}{space 2} .0348922{col 45}{space 1}    0.38{col 54}{space 3}0.707{col 62}{space 4}-.0553267{col 75}{space 3} .0815349
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2} .0466032{col 34}{space 2} .0152631{col 45}{space 1}    3.05{col 54}{space 3}0.002{col 62}{space 4} .0166691{col 75}{space 3} .0765373
{txt}football_consumption {c |}{col 22}{res}{space 2} .0968103{col 34}{space 2} .0239639{col 45}{space 1}    4.04{col 54}{space 3}0.000{col 62}{space 4} .0498121{col 75}{space 3} .1438084
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}-.1979201{col 34}{space 2} .0336261{col 45}{space 1}   -5.89{col 54}{space 3}0.000{col 62}{space 4} -.263868{col 75}{space 3}-.1319723
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .2165257{col 34}{space 2} .0690023{col 45}{space 1}    3.14{col 54}{space 3}0.002{col 62}{space 4} .0811978{col 75}{space 3} .3518537
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .2938446{col 34}{space 2} .0331378{col 45}{space 1}    8.87{col 54}{space 3}0.000{col 62}{space 4} .2288544{col 75}{space 3} .3588349
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 2.085847{col 34}{space 2} .1917437{col 45}{space 1}   10.88{col 54}{space 3}0.000{col 62}{space 4} 1.709797{col 75}{space 3} 2.461896
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     1,918
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:wave}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}wave {c |}{col 14}{res}{space 2} .1135781{col 26}{space 2} .0526216{col 37}{space 1}    2.16{col 46}{space 3}0.031{col 54}{space 4} .0103762{col 67}{space 3} .2167801
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}file C:\Users\pxq521\Desktop\Glaessel_Scharpf_Edwards_Sportswashing_JoP_Replication\results_fig_6_2_95CI.dta saved

         Germany: {c |}
    Imposition of {c |}
 opinion by media {c |}      Freq.     Percent        Cum.
{hline 18}{c +}{hline 35}
strongly disagree {c |}{res}        134        6.70        6.70
{txt}         disagree {c |}{res}        364       18.21       24.91
{txt}      neither nor {c |}{res}        740       37.02       61.93
{txt}            agree {c |}{res}        445       22.26       84.19
{txt}    stronly agree {c |}{res}        316       15.81      100.00
{txt}{hline 18}{c +}{hline 35}
            Total {c |}{res}      1,999      100.00

{txt}Linear regression                               Number of obs     = {res}     1,921
                                                {txt}F(11, 1909)       =  {res}    18.48
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0938
                                                {txt}Root MSE          =    {res} 1.0715

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}   pol_media_opinion{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2} .1045263{col 34}{space 2} .0487913{col 45}{space 1}    2.14{col 54}{space 3}0.032{col 62}{space 4} .0088364{col 75}{space 3} .2002162
{txt}{space 17}age {c |}{col 22}{res}{space 2}-.0011566{col 34}{space 2} .0018375{col 45}{space 1}   -0.63{col 54}{space 3}0.529{col 62}{space 4}-.0047602{col 75}{space 3}  .002447
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.0081863{col 34}{space 2} .0526616{col 45}{space 1}   -0.16{col 54}{space 3}0.876{col 62}{space 4}-.1114667{col 75}{space 3} .0950941
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}-.0324464{col 34}{space 2} .0332419{col 45}{space 1}   -0.98{col 54}{space 3}0.329{col 62}{space 4}-.0976406{col 75}{space 3} .0327478
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .1273406{col 34}{space 2} .0709199{col 45}{space 1}    1.80{col 54}{space 3}0.073{col 62}{space 4} -.011748{col 75}{space 3} .2664291
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0163482{col 34}{space 2} .0324904{col 45}{space 1}    0.50{col 54}{space 3}0.615{col 62}{space 4}-.0473722{col 75}{space 3} .0800686
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2} .0872446{col 34}{space 2} .0135398{col 45}{space 1}    6.44{col 54}{space 3}0.000{col 62}{space 4} .0606902{col 75}{space 3} .1137991
{txt}football_consumption {c |}{col 22}{res}{space 2} .0165695{col 34}{space 2} .0225136{col 45}{space 1}    0.74{col 54}{space 3}0.462{col 62}{space 4}-.0275844{col 75}{space 3} .0607234
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2} .0193137{col 34}{space 2} .0301278{col 45}{space 1}    0.64{col 54}{space 3}0.522{col 62}{space 4}-.0397731{col 75}{space 3} .0784005
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .1316193{col 34}{space 2} .0650687{col 45}{space 1}    2.02{col 54}{space 3}0.043{col 62}{space 4} .0040062{col 75}{space 3} .2592325
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .2952544{col 34}{space 2}  .030884{col 45}{space 1}    9.56{col 54}{space 3}0.000{col 62}{space 4} .2346844{col 75}{space 3} .3558243
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}  2.08891{col 34}{space 2} .1670072{col 45}{space 1}   12.51{col 54}{space 3}0.000{col 62}{space 4} 1.761375{col 75}{space 3} 2.416446
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     1,921
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:wave}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}wave {c |}{col 14}{res}{space 2} .1045263{col 26}{space 2} .0487913{col 37}{space 1}    2.14{col 46}{space 3}0.032{col 54}{space 4} .0088364{col 67}{space 3} .2002162
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}file C:\Users\pxq521\Desktop\Glaessel_Scharpf_Edwards_Sportswashing_JoP_Replication\results_fig_6_3_95CI.dta saved

 Germany: Boycott {c |}
of tournaments by {c |}
      politicians {c |}      Freq.     Percent        Cum.
{hline 18}{c +}{hline 35}
strongly disagree {c |}{res}        139        6.92        6.92
{txt}         disagree {c |}{res}        208       10.36       17.28
{txt}      neither nor {c |}{res}        568       28.29       45.57
{txt}            agree {c |}{res}        473       23.56       69.12
{txt}    stronly agree {c |}{res}        620       30.88      100.00
{txt}{hline 18}{c +}{hline 35}
            Total {c |}{res}      2,008      100.00

{txt}Linear regression                               Number of obs     = {res}     1,928
                                                {txt}F(11, 1916)       =  {res}    20.86
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1016
                                                {txt}Root MSE          =    {res} 1.1545

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}football_boycott_pol{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.1339225{col 34}{space 2} .0527737{col 45}{space 1}   -2.54{col 54}{space 3}0.011{col 62}{space 4}-.2374224{col 75}{space 3}-.0304225
{txt}{space 17}age {c |}{col 22}{res}{space 2} .0060165{col 34}{space 2} .0019847{col 45}{space 1}    3.03{col 54}{space 3}0.002{col 62}{space 4} .0021242{col 75}{space 3} .0099088
{txt}{space 16}male {c |}{col 22}{res}{space 2} .0057393{col 34}{space 2}  .055514{col 45}{space 1}    0.10{col 54}{space 3}0.918{col 62}{space 4}-.1031349{col 75}{space 3} .1146135
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}  .051428{col 34}{space 2} .0358695{col 45}{space 1}    1.43{col 54}{space 3}0.152{col 62}{space 4}-.0189194{col 75}{space 3} .1217754
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2}-.2078008{col 34}{space 2} .0842647{col 45}{space 1}   -2.47{col 54}{space 3}0.014{col 62}{space 4} -.373061{col 75}{space 3}-.0425407
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0288044{col 34}{space 2} .0356805{col 45}{space 1}    0.81{col 54}{space 3}0.420{col 62}{space 4}-.0411723{col 75}{space 3} .0987811
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.0576664{col 34}{space 2}   .01563{col 45}{space 1}   -3.69{col 54}{space 3}0.000{col 62}{space 4}-.0883199{col 75}{space 3}-.0270129
{txt}football_consumption {c |}{col 22}{res}{space 2}-.1297542{col 34}{space 2} .0243468{col 45}{space 1}   -5.33{col 54}{space 3}0.000{col 62}{space 4}-.1775033{col 75}{space 3}-.0820052
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2} .2426498{col 34}{space 2} .0325655{col 45}{space 1}    7.45{col 54}{space 3}0.000{col 62}{space 4} .1787822{col 75}{space 3} .3065173
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2}-.1649903{col 34}{space 2} .0717836{col 45}{space 1}   -2.30{col 54}{space 3}0.022{col 62}{space 4}-.3057725{col 75}{space 3} -.024208
{txt}world_regions_russia {c |}{col 22}{res}{space 2}-.2146277{col 34}{space 2} .0345159{col 45}{space 1}   -6.22{col 54}{space 3}0.000{col 62}{space 4}-.2823204{col 75}{space 3}-.1469349
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}  3.71846{col 34}{space 2} .1968756{col 45}{space 1}   18.89{col 54}{space 3}0.000{col 62}{space 4} 3.332347{col 75}{space 3} 4.104573
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     1,928
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:wave}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}wave {c |}{col 14}{res}{space 2}-.1339225{col 26}{space 2} .0527737{col 37}{space 1}   -2.54{col 46}{space 3}0.011{col 54}{space 4}-.2374224{col 67}{space 3}-.0304225
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}file C:\Users\pxq521\Desktop\Glaessel_Scharpf_Edwards_Sportswashing_JoP_Replication\results_fig_6_4_95CI.dta saved

{com}.         
.         *Loading data
.         use "$path\results_fig_6_1_95CI.dta", clear             
{txt}
{com}.         
.         forval j=2/4   {c -(}
{txt}  2{com}.                         append using "$path\results_fig_6_`j'_95CI.dta"
{txt}  3{com}.     {c )-}   
{txt}
{com}.                 
.         *Extracting dependent variable
.         gen dv=regexs(1) if regexm(idstr,"([0-9]+)_([0-9])$")
{txt}
{com}.         
.         *Destringing variables
.         destring dv, replace
{txt}dv: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         
.         *Generating y-axis variable
.         sort dv
{txt}
{com}.         sum dv

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 10}dv {c |}{res}          4         2.5    1.290994          1          4
{txt}
{com}.         gen yaxis=dv*(-1)+r(max)
{txt}
{com}.                         
.         *Graph
.         #delimit ;
{txt}delimiter now ;
{com}.         twoway (rspike min95 max95 yaxis, horizontal lcolor(black) lwidth(*1.1))
>                    (scatter yaxis estimate, mcolor(black) msize(*1.15))  
>                    , 
>                         xline(0, lpattern(shortdash) lcolor(black) lwidth(*0.75)) 
>                         ysize(1)
>                         xsize(1.6)                      
>                         yscale(range(-0.25 3.2) noextend titlegap(*+5))
>                         xscale(range(-.35 .35) noextend titlegap(*+7))
>                         ylabel(
>                         3 "freedom of expression level is similar to Qatar"
>                         2 "media criticized Qatar too much"                             
>                         1 "media often forces its opinion on people"
>                         0 "politicians should boycott tournaments in autocracies"
>                         , valuelabel angle(horizontal) labsize(*.9) glwidth(*0.75) glcolor(gs15) 
>                         )       
>                         xlabel(-.3(0.1).3, labsize(*.9))
>                         ytitle("")
>                         xtitle("Average marginal effect", size(*.9))
>                         graphregion(color(white) lcolor(white) lalign(outside) margin(t=25 b=20))
>                         legend( off
>                         )
>                    ;
{res}{txt}
{com}.         #delimit cr             
{txt}delimiter now cr
{com}.         graph export "$path\figure_6.pdf", as(pdf) replace
{txt}(file C:\Users\pxq521\Desktop\Glaessel_Scharpf_Edwards_Sportswashing_JoP_Replication\figure_6.pdf written in PDF format)

{com}.         
.         *Restoring data
.         restore 
{txt}
{com}.                 
.         
.         ****************************************************************************
.         *Figure 7. World Cup start effect on agreement with the statements: "In Germany, ..."
.         ****************************************************************************            
. 
.         *Preserving data
.         preserve        
{txt}
{com}.         
.         *Control variables
.         #delimit ;
{txt}delimiter now ;
{com}.         global controls_5 = "
>                                                  age
>                                                  male
>                                                  education3 
>                                                  mig_backg 
>                                                  pol_interest 
>                                                  pol_left_right 
>                                                  football_consumption 
>                                                  football_reports
>                                                  born_gdr
>                                                  world_regions_russia
>                                                  "
>         ;
{txt}
{com}.         #delimit cr     
{txt}delimiter now cr
{com}.         
.         *Dependent variables
.         #delimit ;
{txt}delimiter now ;
{com}.         tokenize                           "    
>                                                    pol_woke_female
>                                                    pol_xeno_mosque
>                                                    pol_woke_homo
>                                                    pol_xeno_security
>                                                    ";
{txt}
{com}.         #delimit cr                                                        
{txt}delimiter now cr
{com}. 
.         *Models
.         forval j=1/4  {c -(} 
{txt}  2{com}.         tab ``j''
{txt}  3{com}.         
.         reg ``j'' wave $controls_5 , robust
{txt}  4{com}.         eststo model_5_`j'_1    
{txt}  5{com}.         margins , dydx(wave) at((asobserved) _all) level(95) post       
{txt}  6{com}.         parmest, saving("$path\results_fig_7_`j'_95CI.dta", replace) idstr(model_5_`j'_1) format(estimate min95 max95)                                  
{txt}  7{com}. 
.         {c )-}                       

         {txt}Germany: {c |}
     Professional {c |}
disadvantages for {c |}
            women {c |}      Freq.     Percent        Cum.
{hline 18}{c +}{hline 35}
strongly disagree {c |}{res}        140        7.00        7.00
{txt}         disagree {c |}{res}        308       15.41       22.41
{txt}      neither nor {c |}{res}        750       37.52       59.93
{txt}            agree {c |}{res}        569       28.46       88.39
{txt}    stronly agree {c |}{res}        232       11.61      100.00
{txt}{hline 18}{c +}{hline 35}
            Total {c |}{res}      1,999      100.00

{txt}Linear regression                               Number of obs     = {res}     1,923
                                                {txt}F(11, 1911)       =  {res}    14.73
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0844
                                                {txt}Root MSE          =    {res} 1.0209

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}     pol_woke_female{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2} .0023381{col 34}{space 2} .0468579{col 45}{space 1}    0.05{col 54}{space 3}0.960{col 62}{space 4}-.0895599{col 75}{space 3}  .094236
{txt}{space 17}age {c |}{col 22}{res}{space 2} .0046484{col 34}{space 2} .0016936{col 45}{space 1}    2.74{col 54}{space 3}0.006{col 62}{space 4} .0013268{col 75}{space 3}   .00797
{txt}{space 16}male {c |}{col 22}{res}{space 2} -.392685{col 34}{space 2} .0505142{col 45}{space 1}   -7.77{col 54}{space 3}0.000{col 62}{space 4}-.4917538{col 75}{space 3}-.2936163
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} -.063945{col 34}{space 2}  .030947{col 45}{space 1}   -2.07{col 54}{space 3}0.039{col 62}{space 4}-.1246385{col 75}{space 3}-.0032516
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .0548633{col 34}{space 2} .0718606{col 45}{space 1}    0.76{col 54}{space 3}0.445{col 62}{space 4}-.0860701{col 75}{space 3} .1957967
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2}-.0200871{col 34}{space 2} .0309681{col 45}{space 1}   -0.65{col 54}{space 3}0.517{col 62}{space 4}-.0808219{col 75}{space 3} .0406477
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2} -.102877{col 34}{space 2} .0139032{col 45}{space 1}   -7.40{col 54}{space 3}0.000{col 62}{space 4}-.1301441{col 75}{space 3}-.0756099
{txt}football_consumption {c |}{col 22}{res}{space 2}-.0033762{col 34}{space 2} .0206649{col 45}{space 1}   -0.16{col 54}{space 3}0.870{col 62}{space 4}-.0439043{col 75}{space 3}  .037152
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2} .0155801{col 34}{space 2} .0288673{col 45}{space 1}    0.54{col 54}{space 3}0.589{col 62}{space 4}-.0410346{col 75}{space 3} .0721948
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} -.090725{col 34}{space 2} .0641548{col 45}{space 1}   -1.41{col 54}{space 3}0.157{col 62}{space 4}-.2165458{col 75}{space 3} .0350958
{txt}world_regions_russia {c |}{col 22}{res}{space 2}-.0291511{col 34}{space 2} .0301046{col 45}{space 1}   -0.97{col 54}{space 3}0.333{col 62}{space 4}-.0881925{col 75}{space 3} .0298903
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 3.995493{col 34}{space 2} .1668267{col 45}{space 1}   23.95{col 54}{space 3}0.000{col 62}{space 4} 3.668311{col 75}{space 3} 4.322674
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     1,923
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:wave}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}wave {c |}{col 14}{res}{space 2} .0023381{col 26}{space 2} .0468579{col 37}{space 1}    0.05{col 46}{space 3}0.960{col 54}{space 4}-.0895599{col 67}{space 3}  .094236
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}file C:\Users\pxq521\Desktop\Glaessel_Scharpf_Edwards_Sportswashing_JoP_Replication\results_fig_7_1_95CI.dta saved

   Germany: Calls {c |}
  for prayer from {c |}
          mosques {c |}      Freq.     Percent        Cum.
{hline 18}{c +}{hline 35}
strongly disagree {c |}{res}        597       30.02       30.02
{txt}         disagree {c |}{res}        448       22.52       52.54
{txt}      neither nor {c |}{res}        495       24.89       77.43
{txt}            agree {c |}{res}        283       14.23       91.65
{txt}    stronly agree {c |}{res}        166        8.35      100.00
{txt}{hline 18}{c +}{hline 35}
            Total {c |}{res}      1,989      100.00

{txt}Linear regression                               Number of obs     = {res}     1,912
                                                {txt}F(11, 1900)       =  {res}    22.91
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1207
                                                {txt}Root MSE          =    {res} 1.2035

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}     pol_xeno_mosque{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2} -.022157{col 34}{space 2} .0552917{col 45}{space 1}   -0.40{col 54}{space 3}0.689{col 62}{space 4}-.1305958{col 75}{space 3} .0862819
{txt}{space 17}age {c |}{col 22}{res}{space 2}-.0094727{col 34}{space 2}  .002121{col 45}{space 1}   -4.47{col 54}{space 3}0.000{col 62}{space 4}-.0136325{col 75}{space 3}-.0053129
{txt}{space 16}male {c |}{col 22}{res}{space 2} .0461655{col 34}{space 2} .0585426{col 45}{space 1}    0.79{col 54}{space 3}0.430{col 62}{space 4} -.068649{col 75}{space 3}   .16098
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} .2003454{col 34}{space 2}  .037667{col 45}{space 1}    5.32{col 54}{space 3}0.000{col 62}{space 4} .1264725{col 75}{space 3} .2742184
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .0331479{col 34}{space 2} .0865712{col 45}{space 1}    0.38{col 54}{space 3}0.702{col 62}{space 4}-.1366366{col 75}{space 3} .2029325
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2}-.0014487{col 34}{space 2} .0356868{col 45}{space 1}   -0.04{col 54}{space 3}0.968{col 62}{space 4}-.0714382{col 75}{space 3} .0685408
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.1707649{col 34}{space 2} .0166932{col 45}{space 1}  -10.23{col 54}{space 3}0.000{col 62}{space 4}-.2035039{col 75}{space 3}-.1380259
{txt}football_consumption {c |}{col 22}{res}{space 2} .0755368{col 34}{space 2} .0248615{col 45}{space 1}    3.04{col 54}{space 3}0.002{col 62}{space 4} .0267781{col 75}{space 3} .1242955
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}-.0397001{col 34}{space 2} .0337709{col 45}{space 1}   -1.18{col 54}{space 3}0.240{col 62}{space 4}-.1059319{col 75}{space 3} .0265318
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2}-.1468892{col 34}{space 2} .0735065{col 45}{space 1}   -2.00{col 54}{space 3}0.046{col 62}{space 4}-.2910512{col 75}{space 3}-.0027273
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .1255853{col 34}{space 2} .0352207{col 45}{space 1}    3.57{col 54}{space 3}0.000{col 62}{space 4} .0565099{col 75}{space 3} .1946607
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}   3.1223{col 34}{space 2} .1982395{col 45}{space 1}   15.75{col 54}{space 3}0.000{col 62}{space 4}  2.73351{col 75}{space 3}  3.51109
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     1,912
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:wave}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}wave {c |}{col 14}{res}{space 2} -.022157{col 26}{space 2} .0552917{col 37}{space 1}   -0.40{col 46}{space 3}0.689{col 54}{space 4}-.1305958{col 67}{space 3} .0862819
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}file C:\Users\pxq521\Desktop\Glaessel_Scharpf_Edwards_Sportswashing_JoP_Replication\results_fig_7_2_95CI.dta saved

         Germany: {c |}
      Exaggerated {c |}
     demands from {c |}
      homosexuals {c |}      Freq.     Percent        Cum.
{hline 18}{c +}{hline 35}
strongly disagree {c |}{res}        445       22.24       22.24
{txt}         disagree {c |}{res}        421       21.04       43.28
{txt}      neither nor {c |}{res}        541       27.04       70.31
{txt}            agree {c |}{res}        297       14.84       85.16
{txt}    stronly agree {c |}{res}        297       14.84      100.00
{txt}{hline 18}{c +}{hline 35}
            Total {c |}{res}      2,001      100.00

{txt}Linear regression                               Number of obs     = {res}     1,924
                                                {txt}F(11, 1912)       =  {res}    34.15
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1529
                                                {txt}Root MSE          =    {res} 1.2385

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}       pol_woke_homo{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2} .1451186{col 34}{space 2} .0567022{col 45}{space 1}    2.56{col 54}{space 3}0.011{col 62}{space 4} .0339139{col 75}{space 3} .2563233
{txt}{space 17}age {c |}{col 22}{res}{space 2}-.0014945{col 34}{space 2} .0021368{col 45}{space 1}   -0.70{col 54}{space 3}0.484{col 62}{space 4}-.0056851{col 75}{space 3} .0026961
{txt}{space 16}male {c |}{col 22}{res}{space 2} .2602395{col 34}{space 2} .0608639{col 45}{space 1}    4.28{col 54}{space 3}0.000{col 62}{space 4}  .140873{col 75}{space 3} .3796061
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}-.1503617{col 34}{space 2} .0386586{col 45}{space 1}   -3.89{col 54}{space 3}0.000{col 62}{space 4}-.2261792{col 75}{space 3}-.0745442
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .2505769{col 34}{space 2} .0836185{col 45}{space 1}    3.00{col 54}{space 3}0.003{col 62}{space 4} .0865839{col 75}{space 3} .4145699
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0955539{col 34}{space 2} .0374105{col 45}{space 1}    2.55{col 54}{space 3}0.011{col 62}{space 4} .0221843{col 75}{space 3} .1689235
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2} .1755705{col 34}{space 2} .0160415{col 45}{space 1}   10.94{col 54}{space 3}0.000{col 62}{space 4} .1441098{col 75}{space 3} .2070311
{txt}football_consumption {c |}{col 22}{res}{space 2} .0650108{col 34}{space 2} .0253594{col 45}{space 1}    2.56{col 54}{space 3}0.010{col 62}{space 4} .0152758{col 75}{space 3} .1147458
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}-.1135308{col 34}{space 2} .0348563{col 45}{space 1}   -3.26{col 54}{space 3}0.001{col 62}{space 4}-.1818912{col 75}{space 3}-.0451704
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .0913539{col 34}{space 2} .0743291{col 45}{space 1}    1.23{col 54}{space 3}0.219{col 62}{space 4}-.0544207{col 75}{space 3} .2371286
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .2566987{col 34}{space 2}  .035433{col 45}{space 1}    7.24{col 54}{space 3}0.000{col 62}{space 4} .1872074{col 75}{space 3} .3261901
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 1.339864{col 34}{space 2} .1994516{col 45}{space 1}    6.72{col 54}{space 3}0.000{col 62}{space 4} .9486989{col 75}{space 3}  1.73103
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     1,924
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:wave}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}wave {c |}{col 14}{res}{space 2} .1451186{col 26}{space 2} .0567022{col 37}{space 1}    2.56{col 46}{space 3}0.011{col 54}{space 4} .0339139{col 67}{space 3} .2563233
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}file C:\Users\pxq521\Desktop\Glaessel_Scharpf_Edwards_Sportswashing_JoP_Replication\results_fig_7_3_95CI.dta saved

Germany: Security {c |}
  threats through {c |}
      immigration {c |}      Freq.     Percent        Cum.
{hline 18}{c +}{hline 35}
strongly disagree {c |}{res}        251       12.60       12.60
{txt}         disagree {c |}{res}        344       17.27       29.87
{txt}      neither nor {c |}{res}        619       31.07       60.94
{txt}            agree {c |}{res}        396       19.88       80.82
{txt}    stronly agree {c |}{res}        382       19.18      100.00
{txt}{hline 18}{c +}{hline 35}
            Total {c |}{res}      1,992      100.00

{txt}Linear regression                               Number of obs     = {res}     1,915
                                                {txt}F(11, 1903)       =  {res}    27.98
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1416
                                                {txt}Root MSE          =    {res} 1.1819

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}   pol_xeno_security{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2} .1218335{col 34}{space 2} .0541083{col 45}{space 1}    2.25{col 54}{space 3}0.024{col 62}{space 4} .0157158{col 75}{space 3} .2279513
{txt}{space 17}age {c |}{col 22}{res}{space 2} .0035448{col 34}{space 2} .0020643{col 45}{space 1}    1.72{col 54}{space 3}0.086{col 62}{space 4}-.0005037{col 75}{space 3} .0075933
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.0702333{col 34}{space 2} .0581191{col 45}{space 1}   -1.21{col 54}{space 3}0.227{col 62}{space 4}-.1842173{col 75}{space 3} .0437506
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}-.2507774{col 34}{space 2} .0363262{col 45}{space 1}   -6.90{col 54}{space 3}0.000{col 62}{space 4}-.3220208{col 75}{space 3}-.1795339
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2}-.0781484{col 34}{space 2} .0767794{col 45}{space 1}   -1.02{col 54}{space 3}0.309{col 62}{space 4}-.2287291{col 75}{space 3} .0724323
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0652427{col 34}{space 2} .0366383{col 45}{space 1}    1.78{col 54}{space 3}0.075{col 62}{space 4}-.0066128{col 75}{space 3} .1370982
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2} .1937206{col 34}{space 2} .0163289{col 45}{space 1}   11.86{col 54}{space 3}0.000{col 62}{space 4} .1616961{col 75}{space 3}  .225745
{txt}football_consumption {c |}{col 22}{res}{space 2} .0112019{col 34}{space 2} .0251005{col 45}{space 1}    0.45{col 54}{space 3}0.655{col 62}{space 4}-.0380255{col 75}{space 3} .0604294
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2} -.030814{col 34}{space 2} .0345753{col 45}{space 1}   -0.89{col 54}{space 3}0.373{col 62}{space 4}-.0986234{col 75}{space 3} .0369954
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .1218029{col 34}{space 2} .0717962{col 45}{space 1}    1.70{col 54}{space 3}0.090{col 62}{space 4}-.0190046{col 75}{space 3} .2626105
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .1165794{col 34}{space 2} .0339345{col 45}{space 1}    3.44{col 54}{space 3}0.001{col 62}{space 4} .0500266{col 75}{space 3} .1831322
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 2.079908{col 34}{space 2} .1936922{col 45}{space 1}   10.74{col 54}{space 3}0.000{col 62}{space 4} 1.700036{col 75}{space 3} 2.459779
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     1,915
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:wave}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}wave {c |}{col 14}{res}{space 2} .1218335{col 26}{space 2} .0541083{col 37}{space 1}    2.25{col 46}{space 3}0.024{col 54}{space 4} .0157158{col 67}{space 3} .2279513
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}file C:\Users\pxq521\Desktop\Glaessel_Scharpf_Edwards_Sportswashing_JoP_Replication\results_fig_7_4_95CI.dta saved

{com}.         
.         *Loading data
.         use "$path\results_fig_7_1_95CI.dta", clear             
{txt}
{com}.         
.         forval j=2/4   {c -(}
{txt}  2{com}.                         append using "$path\results_fig_7_`j'_95CI.dta"
{txt}  3{com}.     {c )-}   
{txt}
{com}.         
.         *Extracting dependent variable
.         gen dv=regexs(1) if regexm(idstr,"([0-9]+)_([0-9])$")
{txt}
{com}.         
.         *Destringing variables
.         destring dv, replace
{txt}dv: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         
.         *Generating y-axis variable
.         sort dv
{txt}
{com}.         sum dv

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 10}dv {c |}{res}          4         2.5    1.290994          1          4
{txt}
{com}.         gen yaxis=dv*(-1)+r(max)
{txt}
{com}.         
.         *Graph
.         #delimit ;
{txt}delimiter now ;
{com}.         twoway (rspike min95 max95 yaxis if dv==3 | dv==4, horizontal lcolor(black) lwidth(*1.1))
>                    (rspike min95 max95 yaxis if dv!=3 & dv!=4, horizontal lcolor(gs10) lwidth(*1.1))
>                    (scatter yaxis estimate if dv==3 | dv==4, mcolor(black) msize(*1.15))  
>                    (scatter yaxis estimate if dv!=3 & dv!=4, mfcolor(white) mlcolor(gs10) msize(*1.25)) 
>                    , 
>                         xline(0, lpattern(shortdash) lcolor(black) lwidth(*0.75)) 
>                         ysize(1)
>                         xsize(1.8)                      
>                         yscale(range(-0.25 3.25) noextend titlegap(*+5))
>                         xscale(range(-.35 .35) noextend titlegap(*+7))
>                         ylabel(
>                         3 "women face severe professional disadvantages"
>                         2 "mosques should be allowed to publicly call for prayer"
>                         1 "homosexuals sometimes exaggerate their demands for equality"
>                         0 "immigration from other cultures endangers social peace & security"
>                         , valuelabel angle(horizontal) labsize(*.9) glwidth(*0.75) glcolor(gs15) 
>                         )       
>                         xlabel(-.3(0.1).3, labsize(*.9))
>                         ytitle("")
>                         xtitle("Average marginal effect", size(*.9))
>                         graphregion(color(white) lcolor(white) lalign(outside) margin(t=25 b=20))
>                         legend( off      
>                         )
>                    ;
{res}{txt}
{com}.         #delimit cr             
{txt}delimiter now cr
{com}.         graph export "$path\figure_7.pdf", as(pdf) replace      
{txt}(file C:\Users\pxq521\Desktop\Glaessel_Scharpf_Edwards_Sportswashing_JoP_Replication\figure_7.pdf written in PDF format)

{com}.         
.         *Restoring data
.         restore 
{txt}
{com}.         
.         
. ********************************************************************************
. *
. * Survey design / summary statistics
. *
. ********************************************************************************        
.         
.         ****************************************************************************
.         *Figure A.2.1. Age distribution of respondents
.         ****************************************************************************    
.         
.         *Preserving data
.         preserve        
{txt}
{com}.         
.         *Number of respondents
.         gen numb_respond=1 if age!=.    
{txt}
{com}.         
.         *Aggregating data 
.         collapse (sum) numb_respond, by(age)    
{txt}
{com}.         
.         *Graph
.         #delimit ;
{txt}delimiter now ;
{com}.         twoway (bar numb_respond age, lcolor(gs5) color(gs10) barwidth(.6) )
>                    ,
>                         ysize(1)
>                         xsize(1)                        
>                         yscale(range() noextend titlegap(*+5))
>                         xscale(range(18 70) noextend titlegap(*+7))
>                         ylabel(                         
>                         , angle(horizontal) nogrid)
>                         xlabel(20(10)70, labgap(*2.5)
>                         )       
>                         ytitle("Number of respondents")
>                         xtitle("Age")                   
>                         graphregion(color(white) lcolor(white) lalign(outside))                         
>                         legend(off)
>                    ;
{res}{txt}
{com}.         #delimit cr                     
{txt}delimiter now cr
{com}.         graph export "$path\figure_A_2_1.pdf", replace as(pdf)  
{txt}(file C:\Users\pxq521\Desktop\Glaessel_Scharpf_Edwards_Sportswashing_JoP_Replication\figure_A_2_1.pdf written in PDF format)

{com}.                 
.         *Restoring data
.         restore         
{txt}
{com}.         
.         
.         ****************************************************************************
.         *Figure A.2.2. Gender distribution of respondents
.         ****************************************************************************    
. 
.         *Preserving data
.         preserve        
{txt}
{com}.         
.         *Number of respondents
.         gen numb_respond=1 if gender!=. 
{txt}
{com}.         
.         *Aggregating data 
.         collapse (sum) numb_respond, by(gender)         
{txt}
{com}.         
.         *Graph
.         #delimit ;
{txt}delimiter now ;
{com}.         twoway (bar numb_respond gender, lcolor(gs5) color(gs10) barwidth(.2) )
>                    ,
>                         ysize(1)
>                         xsize(1)                        
>                         yscale(range() noextend titlegap(*+5))
>                         xscale(range(.5 3.5) noextend titlegap(*+7))
>                         ylabel(                         
>                         , angle(horizontal) nogrid)
>                         xlabel(1 "Male" 2 "Female" 3 "Diverse", labgap(*2.5)
>                         )       
>                         ytitle("Number of respondents")
>                         xtitle("Gender", color(white))                  
>                         graphregion(color(white) lcolor(white) lalign(outside))                         
>                         legend(off)
>                    ;
{res}{txt}
{com}.         #delimit cr                     
{txt}delimiter now cr
{com}.         graph export "$path\figure_A_2_2.pdf", replace as(pdf)  
{txt}(file C:\Users\pxq521\Desktop\Glaessel_Scharpf_Edwards_Sportswashing_JoP_Replication\figure_A_2_2.pdf written in PDF format)

{com}.                 
.         *Restoring data
.         restore                 
{txt}
{com}.         
.                 
.         ****************************************************************************
.         *Figure A.2.3. Education attainments of respondents
.         ****************************************************************************    
. 
.         *Preserving data
.         preserve
{txt}
{com}.         
.         *Number of respondents
.         gen numb_respond=1 if education!=.
{txt}
{com}.         
.         *Aggregating data 
.         collapse (sum) numb_respond, by(education) 
{txt}
{com}.                 
.         *Graph
.         #delimit ;
{txt}delimiter now ;
{com}.         twoway (bar numb_respond education, lcolor(gs5) color(gs10) barwidth(.5))
>                    ,
>                         ysize(1)
>                         xsize(1)                        
>                         yscale(range() noextend titlegap(*+5))
>                         xscale(range(1 6) noextend titlegap(*+7))
>                         ylabel( , angle(horizontal) nogrid)
>                         xlabel(1(1)6
>                                 , labgap(*2.5)
>                         )       
>                         ytitle("Number of respondents")
>                         xtitle("Educational attainment")                        
>                         graphregion(color(white) lcolor(white) lalign(outside))                         
>                         legend(off)
>                    ;
{res}{txt}
{com}.         #delimit cr             
{txt}delimiter now cr
{com}.         graph export "$path\figure_A_2_3.pdf", replace as(pdf)  
{txt}(file C:\Users\pxq521\Desktop\Glaessel_Scharpf_Edwards_Sportswashing_JoP_Replication\figure_A_2_3.pdf written in PDF format)

{com}.         
.         *Restoring data
.         restore                 
{txt}
{com}.                 
.                 
.         ****************************************************************************
.         *Figure A.2.4. Geographic distribution of respondents
.         ****************************************************************************    
. 
.         *Preserving data
.         preserve
{txt}
{com}.         
.         *Number of respondents
.         gen numb_respond=1 if plz_num!=.
{txt}(1 missing value generated)

{com}.         
.         *Aggregating data 
.         collapse (sum) numb_respond, by(plz_num) 
{txt}
{com}.                 
.         *Graph
.         #delimit ;
{txt}delimiter now ;
{com}.         twoway (bar numb_respond plz_num, lcolor(gs5) color(gs10) base(-1) barwidth(.8) )
>                    ,
>                         ysize(1)
>                         xsize(1)                        
>                         yscale(range() noextend titlegap(*+5))
>                         xscale(range(0 9) noextend titlegap(*+7))
>                         ylabel(                         
>                         , angle(horizontal) nogrid)
>                         xlabel(0(1)9 , labgap(*2.5)
>                         )       
>                         ytitle("Number of respondents")
>                         xtitle("Postal codes (first digit)")                    
>                         graphregion(color(white) lcolor(white) lalign(outside))                         
>                         legend(off)
>                    ;
{res}{txt}
{com}.         #delimit cr             
{txt}delimiter now cr
{com}.         graph export "$path\figure_A_2_4.pdf", replace as(pdf)  
{txt}(file C:\Users\pxq521\Desktop\Glaessel_Scharpf_Edwards_Sportswashing_JoP_Replication\figure_A_2_4.pdf written in PDF format)

{com}.         
.         *Restoring data
.         restore
{txt}
{com}.                 
.                 
.         ****************************************************************************
.         *Figure A.2.5. Time of survey engagement
.         ****************************************************************************    
. 
.         *Preserving data
.         preserve        
{txt}
{com}.         
.         *Generating variable for counting observations
.         gen obs=1
{txt}
{com}.                 
.         *Generating variable on total observations in each wave
.         gen total_obs=_N
{txt}
{com}.         
.         *Collapsing data
.         collapse (sum) obs (first) total_obs, by(start_hour)
{txt}
{com}.         
.         *Filling-in missing hours
.         tsset start_hour
{res}{txt}{col 9}time variable:  {res}{col 25}start_hour, 0 to 23, but with gaps
{txt}{col 17}delta:  {res}1 unit
{txt}
{com}.         tsfill, full
{txt}
{com}.         replace obs=0 if obs==.
{txt}(3 real changes made)

{com}.         replace total_obs=total_obs[_n-1] if total_obs==.
{txt}(3 real changes made)

{com}.         
.         *Calculating shares
.         gen share=(obs/total_obs)*100
{txt}
{com}.         
.         *Graph
.         #delimit ;
{txt}delimiter now ;
{com}.         twoway (bar share start_hour, lcolor(gs5) color(gs10) barwidth(.8) )
>                    ,
>                         ysize(1)
>                         xsize(1.2)                      
>                         yscale(range() noextend titlegap(*+5))
>                         xscale(range() noextend titlegap(*+7))
>                         ylabel(0(5)25                           
>                         , angle(horizontal) nogrid)
>                         xlabel(0(2)24, labgap(*2.5)
>                         )       
>                         xtick(0(1)24)
>                         ytitle("Share of respondents (%)")
>                         xtitle("Hour of the day")                                               
>                         legend(off)
>                         graphregion(color(white) lcolor(white) lalign(outside))
>                    ;
{res}{txt}
{com}.         #delimit cr             
{txt}delimiter now cr
{com}.         graph export "$path\figure_A_2_5.pdf", replace as(pdf)  
{txt}(file C:\Users\pxq521\Desktop\Glaessel_Scharpf_Edwards_Sportswashing_JoP_Replication\figure_A_2_5.pdf written in PDF format)

{com}.                                 
.         *Restoring data
.         restore 
{txt}
{com}.         
.                 
.         ****************************************************************************
.         *Figure A.2.6. Survey completion time 
.         ****************************************************************************    
.         
.         *Graph: Boxplots
.         #delimit ;      
{txt}delimiter now ;
{com}.         violinplot duration, over(wave) 
>                                                  vertical 
>                                                  range(0 15)
>                                                  line(lcolor(white))
>                                                  whiskers(lcolor(black))
>                                                  median(mfcolor(black) mlcolor(black))
>                                                  box(recast(rbar) barwidth(0.2) fcolor(none) lcolor(black) lwidth(*0.85))
>                                            yscale(range() noextend titlegap(*+10))
>                                            xscale(range() noline titlegap(*+7))                    
>                                            ylabel(0(5)15, angle(horizontal) nogrid)
>                                            xlabel(0 `" "Before World Cup start" "(Wave 1)" "' 1 `" "After World Cup start" "(Wave 2)" "',)
>                                            ytick(0(1)15)
>                                            ytitle("Completion time (minutes)")
>                                            ysize(1.2)
>                                            xsize(1)
>                                            graphregion(color(white) lcolor(white) lalign(outside)) 
>                            ;
{res}{txt}
{com}.         #delimit cr
{txt}delimiter now cr
{com}.         graph export "$path\figure_A_2_6.pdf", replace as(pdf)          
{txt}(file C:\Users\pxq521\Desktop\Glaessel_Scharpf_Edwards_Sportswashing_JoP_Replication\figure_A_2_6.pdf written in PDF format)

{com}.         
.                 
.         ****************************************************************************
.         *Figure A.2.7. Balance test
.         ****************************************************************************
.         
.         *Preserving data
.         preserve                
{txt}
{com}.         
.         *Centering variables: age
.         center age, gen(age_center) standardize 
{txt}(generated variables: age_center)

{com}.         
.         #delimit ;
{txt}delimiter now ;
{com}.         tokenize                           "    
>                                                  age_center
>                                                  male
>                                                  education3 
>                                                  mig_backg 
>                                                  pol_interest 
>                                                  pol_left_right 
>                                                  football_consumption 
>                                                  football_reports
>                                                  born_gdr
>                                                  world_regions_arab
>                                                  world_regions_russia
>                                                  world_regions_us 
>                                                  world_regions_asia 
>                                                  world_regions_europe
>                                                  " ;
{txt}
{com}.                                                         forval j=1/14  {c -(} ;
{txt}  2{com}.                 reg ``j'' wave ;
{txt}  3{com}.                                         eststo robc4_`j' ;
{txt}  4{com}.                                                                 margins , dydx(wave) at((asobserved) _all) level(95) post ;
{txt}  5{com}.                 parmest, saving("$path\results_fig_A_2_7_`j'_95CI.dta", replace) idstr(``j'') format(estimate min95 max95) ;
{txt}  6{com}.                                         {c )-};

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     2,008
{txt}{hline 13}{c +}{hline 34}   F(1, 2006)      = {res}     0.00
{txt}       Model {c |} {res} .000308222         1  .000308222   {txt}Prob > F        ={res}    0.9860
{txt}    Residual {c |} {res} 2006.99971     2,006  1.00049836   {txt}R-squared       ={res}    0.0000
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}   -0.0005
{txt}       Total {c |} {res} 2007.00002     2,007  1.00000001   {txt}Root MSE        =   {res} 1.0002

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  age_center{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}wave {c |}{col 14}{res}{space 2} .0007836{col 26}{space 2} .0446434{col 37}{space 1}    0.02{col 46}{space 3}0.986{col 54}{space 4}-.0867687{col 67}{space 3} .0883358
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0003911{col 26}{space 2} .0315362{col 37}{space 1}   -0.01{col 46}{space 3}0.990{col 54}{space 4}-.0622382{col 67}{space 3}  .061456
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     2,008
{txt}{col 1}Model VCE{col 14}: {res}OLS

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:wave}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}wave {c |}{col 14}{res}{space 2} .0007836{col 26}{space 2} .0446434{col 37}{space 1}    0.02{col 46}{space 3}0.986{col 54}{space 4}-.0867687{col 67}{space 3} .0883358
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}file C:\Users\pxq521\Desktop\Glaessel_Scharpf_Edwards_Sportswashing_JoP_Replication\results_fig_A_2_7_1_95CI.dta saved

      Source {c |}       SS           df       MS      Number of obs   ={res}     2,008
{txt}{hline 13}{c +}{hline 34}   F(1, 2006)      = {res}     0.02
{txt}       Model {c |} {res}  .00458385         1   .00458385   {txt}Prob > F        ={res}    0.8923
{txt}    Residual {c |} {res} 501.851492     2,006   .25017522   {txt}R-squared       ={res}    0.0000
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}   -0.0005
{txt}       Total {c |} {res} 501.856076     2,007  .250052853   {txt}Root MSE        =   {res} .50018

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}        male{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}wave {c |}{col 14}{res}{space 2} .0030218{col 26}{space 2}  .022324{col 37}{space 1}    0.14{col 46}{space 3}0.892{col 54}{space 4}-.0407588{col 67}{space 3} .0468024
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .5069583{col 26}{space 2} .0157697{col 37}{space 1}   32.15{col 46}{space 3}0.000{col 54}{space 4} .4760316{col 67}{space 3} .5378849
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     2,008
{txt}{col 1}Model VCE{col 14}: {res}OLS

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:wave}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}wave {c |}{col 14}{res}{space 2} .0030218{col 26}{space 2}  .022324{col 37}{space 1}    0.14{col 46}{space 3}0.892{col 54}{space 4}-.0407588{col 67}{space 3} .0468024
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}file C:\Users\pxq521\Desktop\Glaessel_Scharpf_Edwards_Sportswashing_JoP_Replication\results_fig_A_2_7_2_95CI.dta saved

      Source {c |}       SS           df       MS      Number of obs   ={res}     2,008
{txt}{hline 13}{c +}{hline 34}   F(1, 2006)      = {res}     0.00
{txt}       Model {c |} {res} .000134621         1  .000134621   {txt}Prob > F        ={res}    0.9886
{txt}    Residual {c |} {res} 1314.07506     2,006  .655072315   {txt}R-squared       ={res}    0.0000
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}   -0.0005
{txt}       Total {c |} {res}  1314.0752     2,007  .654745989   {txt}Root MSE        =   {res} .80937

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  education3{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}wave {c |}{col 14}{res}{space 2}-.0005179{col 26}{space 2} .0361238{col 37}{space 1}   -0.01{col 46}{space 3}0.989{col 54}{space 4} -.071362{col 67}{space 3} .0703263
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 2.120278{col 26}{space 2} .0255179{col 37}{space 1}   83.09{col 46}{space 3}0.000{col 54}{space 4} 2.070234{col 67}{space 3} 2.170323
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     2,008
{txt}{col 1}Model VCE{col 14}: {res}OLS

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:wave}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}wave {c |}{col 14}{res}{space 2}-.0005179{col 26}{space 2} .0361238{col 37}{space 1}   -0.01{col 46}{space 3}0.989{col 54}{space 4} -.071362{col 67}{space 3} .0703263
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}file C:\Users\pxq521\Desktop\Glaessel_Scharpf_Edwards_Sportswashing_JoP_Replication\results_fig_A_2_7_3_95CI.dta saved

      Source {c |}       SS           df       MS      Number of obs   ={res}     1,944
{txt}{hline 13}{c +}{hline 34}   F(1, 1942)      = {res}     1.07
{txt}       Model {c |} {res} .124111462         1  .124111462   {txt}Prob > F        ={res}    0.3001
{txt}    Residual {c |} {res} 224.369201     1,942  .115535119   {txt}R-squared       ={res}    0.0006
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0000
{txt}       Total {c |} {res} 224.493313     1,943  .115539533   {txt}Root MSE        =   {res}  .3399

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   mig_backg{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}wave {c |}{col 14}{res}{space 2} .0159804{col 26}{space 2} .0154184{col 37}{space 1}    1.04{col 46}{space 3}0.300{col 54}{space 4}-.0142579{col 67}{space 3} .0462188
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .1252567{col 26}{space 2} .0108912{col 37}{space 1}   11.50{col 46}{space 3}0.000{col 54}{space 4} .1038969{col 67}{space 3} .1466164
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     1,944
{txt}{col 1}Model VCE{col 14}: {res}OLS

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:wave}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}wave {c |}{col 14}{res}{space 2} .0159804{col 26}{space 2} .0154184{col 37}{space 1}    1.04{col 46}{space 3}0.300{col 54}{space 4}-.0142579{col 67}{space 3} .0462188
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}file C:\Users\pxq521\Desktop\Glaessel_Scharpf_Edwards_Sportswashing_JoP_Replication\results_fig_A_2_7_4_95CI.dta saved

      Source {c |}       SS           df       MS      Number of obs   ={res}     2,006
{txt}{hline 13}{c +}{hline 34}   F(1, 2004)      = {res}     1.87
{txt}       Model {c |} {res} 1.43726161         1  1.43726161   {txt}Prob > F        ={res}    0.1721
{txt}    Residual {c |} {res} 1543.38477     2,004  .770152082   {txt}R-squared       ={res}    0.0009
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0004
{txt}       Total {c |} {res} 1544.82203     2,005  .770484805   {txt}Root MSE        =   {res} .87758

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}pol_interest{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}wave {c |}{col 14}{res}{space 2}-.0535344{col 26}{space 2}  .039188{col 37}{space 1}   -1.37{col 46}{space 3}0.172{col 54}{space 4}-.1303878{col 67}{space 3} .0233191
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 2.679283{col 26}{space 2} .0276963{col 37}{space 1}   96.74{col 46}{space 3}0.000{col 54}{space 4} 2.624966{col 67}{space 3} 2.733599
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     2,006
{txt}{col 1}Model VCE{col 14}: {res}OLS

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:wave}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}wave {c |}{col 14}{res}{space 2}-.0535344{col 26}{space 2}  .039188{col 37}{space 1}   -1.37{col 46}{space 3}0.172{col 54}{space 4}-.1303878{col 67}{space 3} .0233191
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}file C:\Users\pxq521\Desktop\Glaessel_Scharpf_Edwards_Sportswashing_JoP_Replication\results_fig_A_2_7_5_95CI.dta saved

      Source {c |}       SS           df       MS      Number of obs   ={res}     2,003
{txt}{hline 13}{c +}{hline 34}   F(1, 2001)      = {res}     0.19
{txt}       Model {c |} {res} .701092379         1  .701092379   {txt}Prob > F        ={res}    0.6622
{txt}    Residual {c |} {res} 7349.89601     2,001  3.67311145   {txt}R-squared       ={res}    0.0001
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}   -0.0004
{txt}       Total {c |} {res}  7350.5971     2,002  3.67162693   {txt}Root MSE        =   {res} 1.9165

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}pol_left_r~t{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}wave {c |}{col 14}{res}{space 2}-.0374177{col 26}{space 2}  .085646{col 37}{space 1}   -0.44{col 46}{space 3}0.662{col 54}{space 4}-.2053824{col 67}{space 3} .1305469
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 5.527418{col 26}{space 2} .0605155{col 37}{space 1}   91.34{col 46}{space 3}0.000{col 54}{space 4} 5.408738{col 67}{space 3} 5.646098
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     2,003
{txt}{col 1}Model VCE{col 14}: {res}OLS

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:wave}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}wave {c |}{col 14}{res}{space 2}-.0374177{col 26}{space 2}  .085646{col 37}{space 1}   -0.44{col 46}{space 3}0.662{col 54}{space 4}-.2053824{col 67}{space 3} .1305469
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}file C:\Users\pxq521\Desktop\Glaessel_Scharpf_Edwards_Sportswashing_JoP_Replication\results_fig_A_2_7_6_95CI.dta saved

      Source {c |}       SS           df       MS      Number of obs   ={res}     2,002
{txt}{hline 13}{c +}{hline 34}   F(1, 2000)      = {res}     0.58
{txt}       Model {c |} {res} .888680822         1  .888680822   {txt}Prob > F        ={res}    0.4481
{txt}    Residual {c |} {res}  3087.4275     2,000  1.54371375   {txt}R-squared       ={res}    0.0003
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}   -0.0002
{txt}       Total {c |} {res} 3088.31618     2,001   1.5433864   {txt}Root MSE        =   {res} 1.2425

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}football_c~n{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}wave {c |}{col 14}{res}{space 2}-.0421377{col 26}{space 2} .0555369{col 37}{space 1}   -0.76{col 46}{space 3}0.448{col 54}{space 4}-.1510539{col 67}{space 3} .0667785
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 2.431138{col 26}{space 2} .0392509{col 37}{space 1}   61.94{col 46}{space 3}0.000{col 54}{space 4} 2.354161{col 67}{space 3} 2.508115
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     2,002
{txt}{col 1}Model VCE{col 14}: {res}OLS

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:wave}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}wave {c |}{col 14}{res}{space 2}-.0421377{col 26}{space 2} .0555369{col 37}{space 1}   -0.76{col 46}{space 3}0.448{col 54}{space 4}-.1510539{col 67}{space 3} .0667785
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}file C:\Users\pxq521\Desktop\Glaessel_Scharpf_Edwards_Sportswashing_JoP_Replication\results_fig_A_2_7_7_95CI.dta saved

      Source {c |}       SS           df       MS      Number of obs   ={res}     2,006
{txt}{hline 13}{c +}{hline 34}   F(1, 2004)      = {res}    10.58
{txt}       Model {c |} {res} 8.66890166         1  8.66890166   {txt}Prob > F        ={res}    0.0012
{txt}    Residual {c |} {res} 1642.40637     2,004  .819564058   {txt}R-squared       ={res}    0.0053
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0048
{txt}       Total {c |} {res} 1651.07527     2,005   .82347894   {txt}Root MSE        =   {res}  .9053

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}football_r~s{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}wave {c |}{col 14}{res}{space 2} .1314761{col 26}{space 2} .0404256{col 37}{space 1}    3.25{col 46}{space 3}0.001{col 54}{space 4} .0521955{col 67}{space 3} .2107566
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 2.369522{col 26}{space 2} .0285709{col 37}{space 1}   82.93{col 46}{space 3}0.000{col 54}{space 4}  2.31349{col 67}{space 3} 2.425554
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     2,006
{txt}{col 1}Model VCE{col 14}: {res}OLS

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:wave}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}wave {c |}{col 14}{res}{space 2} .1314761{col 26}{space 2} .0404256{col 37}{space 1}    3.25{col 46}{space 3}0.001{col 54}{space 4} .0521955{col 67}{space 3} .2107566
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}file C:\Users\pxq521\Desktop\Glaessel_Scharpf_Edwards_Sportswashing_JoP_Replication\results_fig_A_2_7_8_95CI.dta saved

      Source {c |}       SS           df       MS      Number of obs   ={res}     2,004
{txt}{hline 13}{c +}{hline 34}   F(1, 2002)      = {res}     0.52
{txt}       Model {c |} {res} .075486962         1  .075486962   {txt}Prob > F        ={res}    0.4700
{txt}    Residual {c |} {res} 289.446968     2,002  .144578905   {txt}R-squared       ={res}    0.0003
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}   -0.0002
{txt}       Total {c |} {res} 289.522455     2,003  .144544411   {txt}Root MSE        =   {res} .38024

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    born_gdr{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}wave {c |}{col 14}{res}{space 2}-.0122749{col 26}{space 2} .0169877{col 37}{space 1}   -0.72{col 46}{space 3}0.470{col 54}{space 4}-.0455903{col 67}{space 3} .0210405
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .1812749{col 26}{space 2} .0120001{col 37}{space 1}   15.11{col 46}{space 3}0.000{col 54}{space 4} .1577409{col 67}{space 3} .2048089
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     2,004
{txt}{col 1}Model VCE{col 14}: {res}OLS

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:wave}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}wave {c |}{col 14}{res}{space 2}-.0122749{col 26}{space 2} .0169877{col 37}{space 1}   -0.72{col 46}{space 3}0.470{col 54}{space 4}-.0455903{col 67}{space 3} .0210405
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}file C:\Users\pxq521\Desktop\Glaessel_Scharpf_Edwards_Sportswashing_JoP_Replication\results_fig_A_2_7_9_95CI.dta saved

      Source {c |}       SS           df       MS      Number of obs   ={res}     1,997
{txt}{hline 13}{c +}{hline 34}   F(1, 1995)      = {res}     1.63
{txt}       Model {c |} {res} .927249997         1  .927249997   {txt}Prob > F        ={res}    0.2024
{txt}    Residual {c |} {res} 1137.85192     1,995  .570351839   {txt}R-squared       ={res}    0.0008
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0003
{txt}       Total {c |} {res} 1138.77917     1,996  .570530646   {txt}Root MSE        =   {res} .75522

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}world_regi~b{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}wave {c |}{col 14}{res}{space 2} .0430963{col 26}{space 2} .0337997{col 37}{space 1}    1.28{col 46}{space 3}0.202{col 54}{space 4}-.0231901{col 67}{space 3} .1093827
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}    1.989{col 26}{space 2}  .023882{col 37}{space 1}   83.28{col 46}{space 3}0.000{col 54}{space 4} 1.942164{col 67}{space 3} 2.035836
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     1,997
{txt}{col 1}Model VCE{col 14}: {res}OLS

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:wave}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}wave {c |}{col 14}{res}{space 2} .0430963{col 26}{space 2} .0337997{col 37}{space 1}    1.28{col 46}{space 3}0.202{col 54}{space 4}-.0231901{col 67}{space 3} .1093827
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}file C:\Users\pxq521\Desktop\Glaessel_Scharpf_Edwards_Sportswashing_JoP_Replication\results_fig_A_2_7_10_95CI.dta saved

      Source {c |}       SS           df       MS      Number of obs   ={res}     1,999
{txt}{hline 13}{c +}{hline 34}   F(1, 1997)      = {res}     0.15
{txt}       Model {c |} {res} .114448578         1  .114448578   {txt}Prob > F        ={res}    0.6974
{txt}    Residual {c |} {res} 1511.36929     1,997  .756819876   {txt}R-squared       ={res}    0.0001
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}   -0.0004
{txt}       Total {c |} {res} 1511.48374     1,998  .756498369   {txt}Root MSE        =   {res} .86995

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}world_r~ssia{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}wave {c |}{col 14}{res}{space 2}-.0151331{col 26}{space 2} .0389153{col 37}{space 1}   -0.39{col 46}{space 3}0.697{col 54}{space 4}-.0914519{col 67}{space 3} .0611856
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}    1.882{col 26}{space 2} .0275104{col 37}{space 1}   68.41{col 46}{space 3}0.000{col 54}{space 4} 1.828048{col 67}{space 3} 1.935952
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     1,999
{txt}{col 1}Model VCE{col 14}: {res}OLS

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:wave}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}wave {c |}{col 14}{res}{space 2}-.0151331{col 26}{space 2} .0389153{col 37}{space 1}   -0.39{col 46}{space 3}0.697{col 54}{space 4}-.0914519{col 67}{space 3} .0611856
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}file C:\Users\pxq521\Desktop\Glaessel_Scharpf_Edwards_Sportswashing_JoP_Replication\results_fig_A_2_7_11_95CI.dta saved

      Source {c |}       SS           df       MS      Number of obs   ={res}     1,997
{txt}{hline 13}{c +}{hline 34}   F(1, 1995)      = {res}     1.88
{txt}       Model {c |} {res} 1.12383687         1  1.12383687   {txt}Prob > F        ={res}    0.1701
{txt}    Residual {c |} {res} 1190.45253     1,995  .596718059   {txt}R-squared       ={res}    0.0009
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0004
{txt}       Total {c |} {res} 1191.57636     1,996  .596982147   {txt}Root MSE        =   {res} .77248

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}world_regi~s{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}wave {c |}{col 14}{res}{space 2}-.0474452{col 26}{space 2} .0345721{col 37}{space 1}   -1.37{col 46}{space 3}0.170{col 54}{space 4}-.1152464{col 67}{space 3} .0203559
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}  2.64965{col 26}{space 2}   .02444{col 37}{space 1}  108.41{col 46}{space 3}0.000{col 54}{space 4} 2.601719{col 67}{space 3}  2.69758
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     1,997
{txt}{col 1}Model VCE{col 14}: {res}OLS

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:wave}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}wave {c |}{col 14}{res}{space 2}-.0474452{col 26}{space 2} .0345721{col 37}{space 1}   -1.37{col 46}{space 3}0.170{col 54}{space 4}-.1152464{col 67}{space 3} .0203559
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}file C:\Users\pxq521\Desktop\Glaessel_Scharpf_Edwards_Sportswashing_JoP_Replication\results_fig_A_2_7_12_95CI.dta saved

      Source {c |}       SS           df       MS      Number of obs   ={res}     1,995
{txt}{hline 13}{c +}{hline 34}   F(1, 1993)      = {res}     0.24
{txt}       Model {c |} {res}  .12182826         1   .12182826   {txt}Prob > F        ={res}    0.6271
{txt}    Residual {c |} {res} 1028.47767     1,993  .516044993   {txt}R-squared       ={res}    0.0001
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}   -0.0004
{txt}       Total {c |} {res}  1028.5995     1,994  .515847291   {txt}Root MSE        =   {res} .71836

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}world_r~asia{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}wave {c |}{col 14}{res}{space 2}-.0156291{col 26}{space 2} .0321664{col 37}{space 1}   -0.49{col 46}{space 3}0.627{col 54}{space 4}-.0787123{col 67}{space 3} .0474542
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 2.597793{col 26}{space 2} .0227508{col 37}{space 1}  114.18{col 46}{space 3}0.000{col 54}{space 4} 2.553176{col 67}{space 3} 2.642411
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     1,995
{txt}{col 1}Model VCE{col 14}: {res}OLS

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:wave}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}wave {c |}{col 14}{res}{space 2}-.0156291{col 26}{space 2} .0321664{col 37}{space 1}   -0.49{col 46}{space 3}0.627{col 54}{space 4}-.0787123{col 67}{space 3} .0474542
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}file C:\Users\pxq521\Desktop\Glaessel_Scharpf_Edwards_Sportswashing_JoP_Replication\results_fig_A_2_7_13_95CI.dta saved

      Source {c |}       SS           df       MS      Number of obs   ={res}     1,990
{txt}{hline 13}{c +}{hline 34}   F(1, 1988)      = {res}     0.20
{txt}       Model {c |} {res} .097195879         1  .097195879   {txt}Prob > F        ={res}    0.6537
{txt}    Residual {c |} {res} 959.649538     1,988  .482721095   {txt}R-squared       ={res}    0.0001
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}   -0.0004
{txt}       Total {c |} {res} 959.746734     1,989  .482527267   {txt}Root MSE        =   {res} .69478

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}world_regi~e{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}wave {c |}{col 14}{res}{space 2}-.0139774{col 26}{space 2} .0311496{col 37}{space 1}   -0.45{col 46}{space 3}0.654{col 54}{space 4}-.0750666{col 67}{space 3} .0471118
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 3.053213{col 26}{space 2}  .022015{col 37}{space 1}  138.69{col 46}{space 3}0.000{col 54}{space 4} 3.010038{col 67}{space 3} 3.096388
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     1,990
{txt}{col 1}Model VCE{col 14}: {res}OLS

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:wave}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}wave {c |}{col 14}{res}{space 2}-.0139774{col 26}{space 2} .0311496{col 37}{space 1}   -0.45{col 46}{space 3}0.654{col 54}{space 4}-.0750666{col 67}{space 3} .0471118
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}file C:\Users\pxq521\Desktop\Glaessel_Scharpf_Edwards_Sportswashing_JoP_Replication\results_fig_A_2_7_14_95CI.dta saved

{com}.         #delimit cr             
{txt}delimiter now cr
{com}.         
.         *Loading data
.         use "$path\results_fig_A_2_7_1_95CI.dta", clear         
{txt}
{com}.         
.         forval j=2/14   {c -(}
{txt}  2{com}.                         append using "$path\results_fig_A_2_7_`j'_95CI.dta"
{txt}  3{com}.     {c )-}   
{txt}{p 0 7 2}
(note: variable
idstr was 
str10, now str12 to accommodate using data's values)
{p_end}
{p 0 7 2}
(note: variable
idstr was 
str12, now str14 to accommodate using data's values)
{p_end}
{p 0 7 2}
(note: variable
idstr was 
str14, now str20 to accommodate using data's values)
{p_end}

{com}.                 
.         *Generating y-axis variable
.         gen dv=.        
{txt}(14 missing values generated)

{com}.         replace dv=1 if idstr=="world_regions_russia"
{txt}(1 real change made)

{com}.         replace dv=2 if idstr=="world_regions_us"
{txt}(1 real change made)

{com}.         replace dv=3 if idstr=="world_regions_europe"
{txt}(1 real change made)

{com}.         replace dv=4 if idstr=="world_regions_asia"     
{txt}(1 real change made)

{com}.         replace dv=5 if idstr=="world_regions_arab"     
{txt}(1 real change made)

{com}.         replace dv=6 if idstr=="pol_left_right"
{txt}(1 real change made)

{com}.         replace dv=7 if idstr=="pol_interest"
{txt}(1 real change made)

{com}.         replace dv=8 if idstr=="education3"
{txt}(1 real change made)

{com}.         replace dv=9 if idstr=="age_center"
{txt}(1 real change made)

{com}.         replace dv=10 if idstr=="male"
{txt}(1 real change made)

{com}.         replace dv=11 if idstr=="mig_backg"
{txt}(1 real change made)

{com}.         replace dv=12 if idstr=="born_gdr"
{txt}(1 real change made)

{com}.         replace dv=13 if idstr=="football_reports"      
{txt}(1 real change made)

{com}.         replace dv=14 if idstr=="football_consumption"  
{txt}(1 real change made)

{com}.         
.         sort dv
{txt}
{com}.         
.         *Generating value label
.         #delimit ;
{txt}delimiter now ;
{com}.         label define vars  
>                         14 "Football interest"
>                         13 "Critical reports"
>                         12 "Born in GDR"
>                         11 "Migration background"
>                         10 "Male"
>                         9 "Age"
>                         8 "Education"
>                         7 "Political interest"
>                         6 "Conservatism"
>                         5 "Arab world affinity"
>                         4 "Asia affinity"
>                         3 "Western Europe affinity"
>                         2 "United States affinity"
>                         1 "Russia affinity"     
>         ;
{txt}
{com}.         #delimit cr
{txt}delimiter now cr
{com}.         
.         *Labeling variable for plotting
.         label val dv vars
{txt}
{com}.                 
.         *Graph
.         #delimit ;
{txt}delimiter now ;
{com}.         twoway (rspike min95 max95 dv , horizontal lcolor(black))   
>                    (scatter dv estimate , mcolor(black) )                  
>                    , 
>                         xline(0, lpattern(shortdash) lcolor(black) lwidth(*0.75)) 
>                         ysize(1)
>                         xsize(1.2)                      
>                         yscale(range(.75 14.25) noextend titlegap(*+5))
>                         xscale(range() noextend titlegap(*+7))
>                         ylabel(1(1)14, valuelabel angle(horizontal) labsize(*.9) glwidth(*0.75) glcolor(gs15) 
>                         )       
>                         xlabel(-.3(.1).3, labsize(*.9))
>                         ytitle("")
>                         xtitle("Average marginal effect", size(*.9))
>                         graphregion(color(white) lcolor(white) lalign(outside))
>                         legend( off     )
>                    ;
{res}{txt}
{com}.         #delimit cr     
{txt}delimiter now cr
{com}.         graph export "$path\figure_A_2_7.pdf", as(pdf) replace  
{txt}(file C:\Users\pxq521\Desktop\Glaessel_Scharpf_Edwards_Sportswashing_JoP_Replication\figure_A_2_7.pdf written in PDF format)

{com}.         
.         *Restoring data
.         restore         
{txt}
{com}.         
.         
.         ****************************************************************************
.         *Table A.4.1. Summary statistics
.         ****************************************************************************    
.         
.         #delimit ;
{txt}delimiter now ;
{com}.         sum 
>                 qatar_statements_1_influence 
>                 qatar_statements_1_aggro
>                 qatar_statements_1_tech
>                 qatar_statements_1_orga 
>                 qatar_statements_1_travel
>                 qat_state_2_worker
>                 qat_state_2_women
>                 qat_state_2_lgbt                
>                 
>                 world_regions_arab              
>                 world_regions_russia 
>                 world_regions_us 
>                 world_regions_asia 
>                 world_regions_europe            
>                         
>                 qat_state_2_speech
>                 qat_state_2_critic
>                 pol_media_opinion
>                 football_boycott_pol    
>                 
>                 pol_woke_female
>                 pol_xeno_mosque
>                 pol_woke_homo
>                 pol_xeno_security               
> 
>                 football_opening_cat
>                 football_german
>                 
>                 wave
>                 
>                 age
>                 male 
>                 education3 
>                 mig_backg 
>                 pol_interest 
>                 pol_left_right 
>                 football_consumption    
>                 football_reports
>                 born_gdr        
>                 
>                 monday 
>                 tuesday
>                 wednesday
>                 
>                 hour_first 
>                 hour_second 
>                 hour_third
>                 hour_fourth
>                 ;

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
qatar_stat~e {c |}{res}      1,999    3.063532    1.042858          1          5
{txt}qatar_stat~o {c |}{res}      1,999    3.311656    1.073113          1          5
{txt}qatar_stat~h {c |}{res}      1,999    2.637319    1.003511          1          5
{txt}qatar_stat~a {c |}{res}      2,003     2.87968    1.061073          1          5
{txt}qatar_stat~l {c |}{res}      2,000       2.353    1.139755          1          5
{txt}{hline 13}{c +}{hline 57}
qat_state_~r {c |}{res}      1,992    4.060241    1.028174          1          5
{txt}qat_state_~n {c |}{res}      1,997    4.057086    1.008355          1          5
{txt}qat_state_~t {c |}{res}      1,993     4.32564    .9796268          1          5
{txt}world_regi~b {c |}{res}      1,997    2.010516    .7553348          1          4
{txt}world_r~ssia {c |}{res}      1,999    1.874437    .8697691          1          4
{txt}{hline 13}{c +}{hline 57}
world_regi~s {c |}{res}      1,997    2.625939    .7726462          1          4
{txt}world_r~asia {c |}{res}      1,995    2.589975    .7182251          1          4
{txt}world_regi~e {c |}{res}      1,990    3.046231    .6946418          1          4
{txt}qat_state_~h {c |}{res}      1,993    2.276969    1.200969          1          5
{txt}qat_state_~c {c |}{res}      1,992    2.434739    1.208441          1          5
{txt}{hline 13}{c +}{hline 57}
pol_media_~n {c |}{res}      1,999    3.222611    1.120815          1          5
{txt}football_b~l {c |}{res}      2,008    3.611056    1.215912          1          5
{txt}pol_woke_f~e {c |}{res}      1,999    3.222611    1.064943          1          5
{txt}pol_xeno_m~e {c |}{res}      1,989     2.48366    1.279131          1          5
{txt}pol_woke_h~o {c |}{res}      2,001    2.790105    1.341239          1          5
{txt}{hline 13}{c +}{hline 57}
pol_xeno_s~y {c |}{res}      1,992    3.157631    1.272217          1          5
{txt}football_o~t {c |}{res}      2,004    1.409681    .7004215          1          3
{txt}football_g~n {c |}{res}      2,003    2.201198    1.081568          1          4
{txt}{space 8}wave {c |}{res}      2,008     .499004    .5001236          0          1
{txt}{space 9}age {c |}{res}      2,008     44.8257    14.36722         18         70
{txt}{hline 13}{c +}{hline 57}
{space 8}male {c |}{res}      2,008    .5084661    .5000529          0          1
{txt}{space 2}education3 {c |}{res}      2,008     2.12002    .8091638          1          3
{txt}{space 3}mig_backg {c |}{res}      1,944    .1332305    .3399111          0          1
{txt}pol_interest {c |}{res}      2,006    2.652542    .8777726          1          4
{txt}pol_left_r~t {c |}{res}      2,003    5.508737    1.916149          1         11
{txt}{hline 13}{c +}{hline 57}
football_c~n {c |}{res}      2,002     2.41009    1.242331          1          5
{txt}football_r~s {c |}{res}      2,006    2.435194    .9074574          1          4
{txt}{space 4}born_gdr {c |}{res}      2,004    .1751497      .38019          0          1
{txt}{space 6}monday {c |}{res}      2,008        .625    .4842435          0          1
{txt}{space 5}tuesday {c |}{res}      2,008    .3406375    .4740417          0          1
{txt}{hline 13}{c +}{hline 57}
{space 3}wednesday {c |}{res}      2,008    .0343625     .182204          0          1
{txt}{space 2}hour_first {c |}{res}      2,008    .0039841    .0630093          0          1
{txt}{space 1}hour_second {c |}{res}      2,008    .1608566    .3674901          0          1
{txt}{space 2}hour_third {c |}{res}      2,008    .5851594    .4928172          0          1
{txt}{space 1}hour_fourth {c |}{res}      2,008         .25    .4331206          0          1
{txt}
{com}.         #delimit cr     
{txt}delimiter now cr
{com}.         
.         
.         
. ********************************************************************************
. *
. * Main results / statistical analysis 
. *
. ********************************************************************************
. 
. 
.         ****************************************************************************
.         *Table A.5.1. Watching the start of the World Cup
.         ****************************************************************************
.         
.         *Control variables
.         #delimit ;
{txt}delimiter now ;
{com}.         global controls_1 = "
>                                                  age
>                                                  male 
>                                                  education3 
>                                                  mig_backg 
>                                                  pol_interest 
>                                                  pol_left_right 
>                                                  football_consumption   
>                                                  football_reports
>                                                  born_gdr
>                                                  world_regions_russia
>                                                  "
>         ;
{txt}
{com}.         #delimit cr
{txt}delimiter now cr
{com}. 
.         *Model 1  
.         reg football_opening_cat $controls_1 if wave==0, robust

{txt}Linear regression                               Number of obs     = {res}       963
                                                {txt}F(10, 952)        =  {res}    31.31
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.2324
                                                {txt}Root MSE          =    {res} .65581

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}football_opening_cat{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 17}age {c |}{col 22}{res}{space 2}-.0065178{col 34}{space 2} .0014855{col 45}{space 1}   -4.39{col 54}{space 3}0.000{col 62}{space 4} -.009433{col 75}{space 3}-.0036025
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.0612556{col 34}{space 2} .0446423{col 45}{space 1}   -1.37{col 54}{space 3}0.170{col 62}{space 4}-.1488643{col 75}{space 3} .0263531
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}-.0860439{col 34}{space 2} .0291443{col 45}{space 1}   -2.95{col 54}{space 3}0.003{col 62}{space 4}-.1432385{col 75}{space 3}-.0288494
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .2112189{col 34}{space 2} .0699631{col 45}{space 1}    3.02{col 54}{space 3}0.003{col 62}{space 4} .0739192{col 75}{space 3} .3485185
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0995357{col 34}{space 2} .0260654{col 45}{space 1}    3.82{col 54}{space 3}0.000{col 62}{space 4} .0483835{col 75}{space 3} .1506879
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2} .0166603{col 34}{space 2} .0115993{col 45}{space 1}    1.44{col 54}{space 3}0.151{col 62}{space 4}-.0061028{col 75}{space 3} .0394234
{txt}football_consumption {c |}{col 22}{res}{space 2} .2540598{col 34}{space 2} .0187095{col 45}{space 1}   13.58{col 54}{space 3}0.000{col 62}{space 4} .2173433{col 75}{space 3} .2907763
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}-.0363406{col 34}{space 2} .0263167{col 45}{space 1}   -1.38{col 54}{space 3}0.168{col 62}{space 4}-.0879861{col 75}{space 3} .0153049
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .1132042{col 34}{space 2} .0566183{col 45}{space 1}    2.00{col 54}{space 3}0.046{col 62}{space 4}  .002093{col 75}{space 3} .2243153
{txt}world_regions_russia {c |}{col 22}{res}{space 2}  .035695{col 34}{space 2} .0268041{col 45}{space 1}    1.33{col 54}{space 3}0.183{col 62}{space 4}-.0169068{col 75}{space 3} .0882969
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} .9655081{col 34}{space 2} .1434465{col 45}{space 1}    6.73{col 54}{space 3}0.000{col 62}{space 4} .6840002{col 75}{space 3} 1.247016
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         
.         *Model 2  
.         reg football_opening_cat $controls_1 if wave==1, robust

{txt}Linear regression                               Number of obs     = {res}       963
                                                {txt}F(10, 952)        =  {res}    22.07
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.2070
                                                {txt}Root MSE          =    {res} .57523

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}football_opening_cat{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 17}age {c |}{col 22}{res}{space 2}-.0006984{col 34}{space 2} .0013447{col 45}{space 1}   -0.52{col 54}{space 3}0.604{col 62}{space 4}-.0033373{col 75}{space 3} .0019404
{txt}{space 16}male {c |}{col 22}{res}{space 2} .0318013{col 34}{space 2} .0384946{col 45}{space 1}    0.83{col 54}{space 3}0.409{col 62}{space 4}-.0437428{col 75}{space 3} .1073453
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} .0379145{col 34}{space 2} .0242776{col 45}{space 1}    1.56{col 54}{space 3}0.119{col 62}{space 4}-.0097292{col 75}{space 3} .0855583
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .0917703{col 34}{space 2} .0566581{col 45}{space 1}    1.62{col 54}{space 3}0.106{col 62}{space 4}-.0194189{col 75}{space 3} .2029594
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0816366{col 34}{space 2} .0242499{col 45}{space 1}    3.37{col 54}{space 3}0.001{col 62}{space 4} .0340472{col 75}{space 3} .1292261
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.0163813{col 34}{space 2} .0116131{col 45}{space 1}   -1.41{col 54}{space 3}0.159{col 62}{space 4}-.0391715{col 75}{space 3} .0064089
{txt}football_consumption {c |}{col 22}{res}{space 2}  .197678{col 34}{space 2} .0177935{col 45}{space 1}   11.11{col 54}{space 3}0.000{col 62}{space 4} .1627591{col 75}{space 3}  .232597
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2} -.036321{col 34}{space 2}  .021288{col 45}{space 1}   -1.71{col 54}{space 3}0.088{col 62}{space 4}-.0780978{col 75}{space 3} .0054558
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .0907455{col 34}{space 2} .0532144{col 45}{space 1}    1.71{col 54}{space 3}0.088{col 62}{space 4}-.0136856{col 75}{space 3} .1951767
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .0739174{col 34}{space 2} .0235685{col 45}{space 1}    3.14{col 54}{space 3}0.002{col 62}{space 4} .0276652{col 75}{space 3} .1201696
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} .6066333{col 34}{space 2} .1217587{col 45}{space 1}    4.98{col 54}{space 3}0.000{col 62}{space 4} .3676869{col 75}{space 3} .8455798
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         
.         
.         ****************************************************************************
.         *Table A.5.2. World Cup start and change of opinions about Qatar
.         ****************************************************************************    
. 
.         *Control variables
.         #delimit ;
{txt}delimiter now ;
{com}.         global controls_2 = "
>                                                  age
>                                                  male 
>                                                  education3 
>                                                  mig_backg 
>                                                  pol_interest 
>                                                  pol_left_right 
>                                                  football_consumption 
>                                                  football_reports
>                                                  born_gdr
>                                                  world_regions_russia
>                                                  "
>         ;
{txt}
{com}.         #delimit cr
{txt}delimiter now cr
{com}.                 
.         *Dependent variables
.         #delimit ;
{txt}delimiter now ;
{com}.         tokenize                           "
>                                                    qatar_statements_1_influence 
>                                                    qatar_statements_1_aggro
>                                                    qatar_statements_1_tech
>                                                    qatar_statements_1_orga 
>                                                    qatar_statements_1_travel
>                                                    qat_state_2_worker
>                                                    qat_state_2_women
>                                                    qat_state_2_lgbt
>                                                    ";
{txt}
{com}.         #delimit cr     
{txt}delimiter now cr
{com}.         
.         *Models 1-8
.         forval j=1/8  {c -(} 
{txt}  2{com}.         tab ``j''
{txt}  3{com}.         
.         reg ``j'' wave $controls_2 , robust
{txt}  4{com}.         eststo model_2_`j'_1    
{txt}  5{com}.         {c )-}                       

           {txt}Qatar: {c |}
  Internationally {c |}
      influential {c |}      Freq.     Percent        Cum.
{hline 18}{c +}{hline 35}
strongly disagree {c |}{res}        163        8.15        8.15
{txt}         disagree {c |}{res}        385       19.26       27.41
{txt}      neither nor {c |}{res}        766       38.32       65.73
{txt}            agree {c |}{res}        532       26.61       92.35
{txt}    stronly agree {c |}{res}        153        7.65      100.00
{txt}{hline 18}{c +}{hline 35}
            Total {c |}{res}      1,999      100.00

{txt}Linear regression                               Number of obs     = {res}     1,923
                                                {txt}F(11, 1911)       =  {res}     8.34
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0459
                                                {txt}Root MSE          =    {res} 1.0211

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}qatar_statements_1~e{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.0403674{col 34}{space 2} .0468845{col 45}{space 1}   -0.86{col 54}{space 3}0.389{col 62}{space 4}-.1323176{col 75}{space 3} .0515828
{txt}{space 17}age {c |}{col 22}{res}{space 2} .0021502{col 34}{space 2} .0017423{col 45}{space 1}    1.23{col 54}{space 3}0.217{col 62}{space 4}-.0012668{col 75}{space 3} .0055671
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.0082504{col 34}{space 2} .0497195{col 45}{space 1}   -0.17{col 54}{space 3}0.868{col 62}{space 4}-.1057607{col 75}{space 3} .0892598
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} .0414421{col 34}{space 2} .0315148{col 45}{space 1}    1.32{col 54}{space 3}0.189{col 62}{space 4} -.020365{col 75}{space 3} .1032492
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .1061084{col 34}{space 2} .0725932{col 45}{space 1}    1.46{col 54}{space 3}0.144{col 62}{space 4}-.0362617{col 75}{space 3} .2484785
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .1127568{col 34}{space 2} .0318495{col 45}{space 1}    3.54{col 54}{space 3}0.000{col 62}{space 4} .0502934{col 75}{space 3} .1752202
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.0084563{col 34}{space 2} .0132836{col 45}{space 1}   -0.64{col 54}{space 3}0.524{col 62}{space 4}-.0345083{col 75}{space 3} .0175956
{txt}football_consumption {c |}{col 22}{res}{space 2} .0367153{col 34}{space 2} .0217477{col 45}{space 1}    1.69{col 54}{space 3}0.092{col 62}{space 4}-.0059364{col 75}{space 3}  .079367
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2} .1011442{col 34}{space 2} .0292406{col 45}{space 1}    3.46{col 54}{space 3}0.001{col 62}{space 4} .0437973{col 75}{space 3} .1584911
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .1091431{col 34}{space 2} .0616262{col 45}{space 1}    1.77{col 54}{space 3}0.077{col 62}{space 4}-.0117185{col 75}{space 3} .2300048
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .1184995{col 34}{space 2} .0285145{col 45}{space 1}    4.16{col 54}{space 3}0.000{col 62}{space 4} .0625766{col 75}{space 3} .1744224
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 2.064931{col 34}{space 2} .1666248{col 45}{space 1}   12.39{col 54}{space 3}0.000{col 62}{space 4} 1.738146{col 75}{space 3} 2.391717
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Qatar: Aggressive {c |}
          country {c |}      Freq.     Percent        Cum.
{hline 18}{c +}{hline 35}
strongly disagree {c |}{res}        121        6.05        6.05
{txt}         disagree {c |}{res}        296       14.81       20.86
{txt}      neither nor {c |}{res}        698       34.92       55.78
{txt}            agree {c |}{res}        607       30.37       86.14
{txt}    stronly agree {c |}{res}        277       13.86      100.00
{txt}{hline 18}{c +}{hline 35}
            Total {c |}{res}      1,999      100.00

{txt}Linear regression                               Number of obs     = {res}     1,923
                                                {txt}F(11, 1911)       =  {res}     5.82
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0362
                                                {txt}Root MSE          =    {res} 1.0523

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}qatar_statements_1~o{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.0657255{col 34}{space 2} .0481858{col 45}{space 1}   -1.36{col 54}{space 3}0.173{col 62}{space 4}-.1602277{col 75}{space 3} .0287767
{txt}{space 17}age {c |}{col 22}{res}{space 2}-.0018732{col 34}{space 2} .0017994{col 45}{space 1}   -1.04{col 54}{space 3}0.298{col 62}{space 4}-.0054021{col 75}{space 3} .0016558
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.1653972{col 34}{space 2} .0514776{col 45}{space 1}   -3.21{col 54}{space 3}0.001{col 62}{space 4}-.2663553{col 75}{space 3}-.0644391
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}-.0542887{col 34}{space 2} .0325751{col 45}{space 1}   -1.67{col 54}{space 3}0.096{col 62}{space 4}-.1181751{col 75}{space 3} .0095978
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2}-.0065313{col 34}{space 2} .0725454{col 45}{space 1}   -0.09{col 54}{space 3}0.928{col 62}{space 4}-.1488078{col 75}{space 3} .1357452
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} -.003606{col 34}{space 2} .0320684{col 45}{space 1}   -0.11{col 54}{space 3}0.910{col 62}{space 4}-.0664987{col 75}{space 3} .0592867
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.0143366{col 34}{space 2} .0143986{col 45}{space 1}   -1.00{col 54}{space 3}0.320{col 62}{space 4}-.0425753{col 75}{space 3} .0139021
{txt}football_consumption {c |}{col 22}{res}{space 2}-.0600295{col 34}{space 2} .0222812{col 45}{space 1}   -2.69{col 54}{space 3}0.007{col 62}{space 4}-.1037275{col 75}{space 3}-.0163315
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2} .1326543{col 34}{space 2} .0299841{col 45}{space 1}    4.42{col 54}{space 3}0.000{col 62}{space 4} .0738493{col 75}{space 3} .1914592
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} -.113919{col 34}{space 2} .0661045{col 45}{space 1}   -1.72{col 54}{space 3}0.085{col 62}{space 4}-.2435635{col 75}{space 3} .0157256
{txt}world_regions_russia {c |}{col 22}{res}{space 2}-.1153143{col 34}{space 2} .0314857{col 45}{space 1}   -3.66{col 54}{space 3}0.000{col 62}{space 4}-.1770643{col 75}{space 3}-.0535644
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 3.773005{col 34}{space 2} .1771202{col 45}{space 1}   21.30{col 54}{space 3}0.000{col 62}{space 4} 3.425636{col 75}{space 3} 4.120374
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
           {txt}Qatar: {c |}
  Technologically {c |}
          leading {c |}      Freq.     Percent        Cum.
{hline 18}{c +}{hline 35}
strongly disagree {c |}{res}        289       14.46       14.46
{txt}         disagree {c |}{res}        561       28.06       42.52
{txt}      neither nor {c |}{res}        807       40.37       82.89
{txt}            agree {c |}{res}        270       13.51       96.40
{txt}    stronly agree {c |}{res}         72        3.60      100.00
{txt}{hline 18}{c +}{hline 35}
            Total {c |}{res}      1,999      100.00

{txt}Linear regression                               Number of obs     = {res}     1,922
                                                {txt}F(11, 1910)       =  {res}     8.95
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0523
                                                {txt}Root MSE          =    {res} .97583

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}qatar_statements_1~h{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.0724159{col 34}{space 2} .0447369{col 45}{space 1}   -1.62{col 54}{space 3}0.106{col 62}{space 4}-.1601541{col 75}{space 3} .0153224
{txt}{space 17}age {c |}{col 22}{res}{space 2}-.0007676{col 34}{space 2} .0016505{col 45}{space 1}   -0.47{col 54}{space 3}0.642{col 62}{space 4}-.0040045{col 75}{space 3} .0024693
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.2131188{col 34}{space 2} .0472022{col 45}{space 1}   -4.52{col 54}{space 3}0.000{col 62}{space 4}-.3056921{col 75}{space 3}-.1205456
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}-.0224829{col 34}{space 2} .0302438{col 45}{space 1}   -0.74{col 54}{space 3}0.457{col 62}{space 4}-.0817972{col 75}{space 3} .0368314
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .0363801{col 34}{space 2}   .07049{col 45}{space 1}    0.52{col 54}{space 3}0.606{col 62}{space 4}-.1018654{col 75}{space 3} .1746255
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0858446{col 34}{space 2} .0294545{col 45}{space 1}    2.91{col 54}{space 3}0.004{col 62}{space 4} .0280782{col 75}{space 3}  .143611
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.0105507{col 34}{space 2}  .013635{col 45}{space 1}   -0.77{col 54}{space 3}0.439{col 62}{space 4}-.0372917{col 75}{space 3} .0161904
{txt}football_consumption {c |}{col 22}{res}{space 2} .0565688{col 34}{space 2} .0204685{col 45}{space 1}    2.76{col 54}{space 3}0.006{col 62}{space 4} .0164259{col 75}{space 3} .0967117
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}-.0121567{col 34}{space 2} .0278477{col 45}{space 1}   -0.44{col 54}{space 3}0.662{col 62}{space 4}-.0667717{col 75}{space 3} .0424583
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .2104789{col 34}{space 2} .0605355{col 45}{space 1}    3.48{col 54}{space 3}0.001{col 62}{space 4} .0917563{col 75}{space 3} .3292015
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .1787854{col 34}{space 2} .0284035{col 45}{space 1}    6.29{col 54}{space 3}0.000{col 62}{space 4} .1230804{col 75}{space 3} .2344905
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 2.210754{col 34}{space 2} .1607351{col 45}{space 1}   13.75{col 54}{space 3}0.000{col 62}{space 4} 1.895519{col 75}{space 3} 2.525989
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
      {txt}Qatar: Well {c |}
        organized {c |}      Freq.     Percent        Cum.
{hline 18}{c +}{hline 35}
strongly disagree {c |}{res}        257       12.83       12.83
{txt}         disagree {c |}{res}        386       19.27       32.10
{txt}      neither nor {c |}{res}        806       40.24       72.34
{txt}            agree {c |}{res}        449       22.42       94.76
{txt}    stronly agree {c |}{res}        105        5.24      100.00
{txt}{hline 18}{c +}{hline 35}
            Total {c |}{res}      2,003      100.00

{txt}Linear regression                               Number of obs     = {res}     1,926
                                                {txt}F(11, 1914)       =  {res}    19.07
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0971
                                                {txt}Root MSE          =    {res}   1.01

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}qatar_statements_1~a{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2} .0099744{col 34}{space 2}  .046345{col 45}{space 1}    0.22{col 54}{space 3}0.830{col 62}{space 4}-.0809176{col 75}{space 3} .1008664
{txt}{space 17}age {c |}{col 22}{res}{space 2} .0076932{col 34}{space 2} .0016824{col 45}{space 1}    4.57{col 54}{space 3}0.000{col 62}{space 4} .0043937{col 75}{space 3} .0109928
{txt}{space 16}male {c |}{col 22}{res}{space 2}   .18962{col 34}{space 2} .0498958{col 45}{space 1}    3.80{col 54}{space 3}0.000{col 62}{space 4} .0917642{col 75}{space 3} .2874759
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} .1151784{col 34}{space 2} .0316877{col 45}{space 1}    3.63{col 54}{space 3}0.000{col 62}{space 4} .0530323{col 75}{space 3} .1773244
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .0668715{col 34}{space 2} .0708132{col 45}{space 1}    0.94{col 54}{space 3}0.345{col 62}{space 4}-.0720076{col 75}{space 3} .2057507
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2}  .182304{col 34}{space 2} .0313272{col 45}{space 1}    5.82{col 54}{space 3}0.000{col 62}{space 4}  .120865{col 75}{space 3} .2437429
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2} .0138763{col 34}{space 2} .0136745{col 45}{space 1}    1.01{col 54}{space 3}0.310{col 62}{space 4}-.0129421{col 75}{space 3} .0406947
{txt}football_consumption {c |}{col 22}{res}{space 2}-.0005173{col 34}{space 2}  .021218{col 45}{space 1}   -0.02{col 54}{space 3}0.981{col 62}{space 4}-.0421302{col 75}{space 3} .0410956
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}  .012957{col 34}{space 2} .0287664{col 45}{space 1}    0.45{col 54}{space 3}0.652{col 62}{space 4}-.0434599{col 75}{space 3} .0693738
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .1382475{col 34}{space 2} .0601015{col 45}{space 1}    2.30{col 54}{space 3}0.022{col 62}{space 4} .0203761{col 75}{space 3} .2561189
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .2019131{col 34}{space 2} .0278542{col 45}{space 1}    7.25{col 54}{space 3}0.000{col 62}{space 4} .1472854{col 75}{space 3} .2565409
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 1.184688{col 34}{space 2} .1650377{col 45}{space 1}    7.18{col 54}{space 3}0.000{col 62}{space 4} .8610151{col 75}{space 3} 1.508361
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Qatar: Attractive {c |}
           travel {c |}
      destination {c |}      Freq.     Percent        Cum.
{hline 18}{c +}{hline 35}
strongly disagree {c |}{res}        586       29.30       29.30
{txt}         disagree {c |}{res}        520       26.00       55.30
{txt}      neither nor {c |}{res}        582       29.10       84.40
{txt}            agree {c |}{res}        226       11.30       95.70
{txt}    stronly agree {c |}{res}         86        4.30      100.00
{txt}{hline 18}{c +}{hline 35}
            Total {c |}{res}      2,000      100.00

{txt}Linear regression                               Number of obs     = {res}     1,923
                                                {txt}F(11, 1911)       =  {res}    14.08
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0822
                                                {txt}Root MSE          =    {res} 1.0891

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}qatar_statements_1~l{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.0551187{col 34}{space 2} .0498533{col 45}{space 1}   -1.11{col 54}{space 3}0.269{col 62}{space 4}-.1528913{col 75}{space 3}  .042654
{txt}{space 17}age {c |}{col 22}{res}{space 2} .0008545{col 34}{space 2}  .001832{col 45}{space 1}    0.47{col 54}{space 3}0.641{col 62}{space 4}-.0027384{col 75}{space 3} .0044474
{txt}{space 16}male {c |}{col 22}{res}{space 2}  .107697{col 34}{space 2} .0527727{col 45}{space 1}    2.04{col 54}{space 3}0.041{col 62}{space 4} .0041988{col 75}{space 3} .2111951
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}-.0554333{col 34}{space 2} .0331586{col 45}{space 1}   -1.67{col 54}{space 3}0.095{col 62}{space 4} -.120464{col 75}{space 3} .0095975
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .1198821{col 34}{space 2} .0788331{col 45}{space 1}    1.52{col 54}{space 3}0.128{col 62}{space 4}-.0347258{col 75}{space 3} .2744901
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0636523{col 34}{space 2} .0329989{col 45}{space 1}    1.93{col 54}{space 3}0.054{col 62}{space 4}-.0010653{col 75}{space 3} .1283699
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.0012985{col 34}{space 2} .0149608{col 45}{space 1}   -0.09{col 54}{space 3}0.931{col 62}{space 4}-.0306397{col 75}{space 3} .0280427
{txt}football_consumption {c |}{col 22}{res}{space 2} .1141267{col 34}{space 2} .0230758{col 45}{space 1}    4.95{col 54}{space 3}0.000{col 62}{space 4} .0688703{col 75}{space 3}  .159383
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}-.1180789{col 34}{space 2} .0304079{col 45}{space 1}   -3.88{col 54}{space 3}0.000{col 62}{space 4}-.1777151{col 75}{space 3}-.0584427
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .1988068{col 34}{space 2} .0673587{col 45}{space 1}    2.95{col 54}{space 3}0.003{col 62}{space 4} .0667026{col 75}{space 3}  .330911
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .2569731{col 34}{space 2} .0323796{col 45}{space 1}    7.94{col 54}{space 3}0.000{col 62}{space 4}   .19347{col 75}{space 3} .3204761
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 1.722774{col 34}{space 2} .1775884{col 45}{space 1}    9.70{col 54}{space 3}0.000{col 62}{space 4} 1.374487{col 75}{space 3} 2.071062
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
       {txt}Qatar: Bad {c |}
      country for {c |}
  migrant workers {c |}      Freq.     Percent        Cum.
{hline 18}{c +}{hline 35}
strongly disagree {c |}{res}         45        2.26        2.26
{txt}         disagree {c |}{res}         88        4.42        6.68
{txt}      neither nor {c |}{res}        462       23.19       29.87
{txt}            agree {c |}{res}        504       25.30       55.17
{txt}    stronly agree {c |}{res}        893       44.83      100.00
{txt}{hline 18}{c +}{hline 35}
            Total {c |}{res}      1,992      100.00

{txt}Linear regression                               Number of obs     = {res}     1,918
                                                {txt}F(11, 1906)       =  {res}    37.67
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1614
                                                {txt}Root MSE          =    {res} .93773

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}  qat_state_2_worker{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.0113182{col 34}{space 2} .0430703{col 45}{space 1}   -0.26{col 54}{space 3}0.793{col 62}{space 4} -.095788{col 75}{space 3} .0731517
{txt}{space 17}age {c |}{col 22}{res}{space 2} .0108744{col 34}{space 2} .0015938{col 45}{space 1}    6.82{col 54}{space 3}0.000{col 62}{space 4} .0077488{col 75}{space 3} .0140001
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.0098641{col 34}{space 2} .0457943{col 45}{space 1}   -0.22{col 54}{space 3}0.829{col 62}{space 4}-.0996764{col 75}{space 3} .0799482
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} .0776773{col 34}{space 2} .0294597{col 45}{space 1}    2.64{col 54}{space 3}0.008{col 62}{space 4} .0199006{col 75}{space 3} .1354541
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2}-.0112344{col 34}{space 2} .0667162{col 45}{space 1}   -0.17{col 54}{space 3}0.866{col 62}{space 4}-.1420789{col 75}{space 3} .1196101
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0994344{col 34}{space 2} .0292651{col 45}{space 1}    3.40{col 54}{space 3}0.001{col 62}{space 4} .0420395{col 75}{space 3} .1568293
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.0699417{col 34}{space 2} .0123778{col 45}{space 1}   -5.65{col 54}{space 3}0.000{col 62}{space 4}-.0942171{col 75}{space 3}-.0456663
{txt}football_consumption {c |}{col 22}{res}{space 2}-.0560446{col 34}{space 2} .0198492{col 45}{space 1}   -2.82{col 54}{space 3}0.005{col 62}{space 4}-.0949731{col 75}{space 3}-.0171161
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}  .226407{col 34}{space 2} .0270135{col 45}{space 1}    8.38{col 54}{space 3}0.000{col 62}{space 4} .1734279{col 75}{space 3} .2793862
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2}-.1700872{col 34}{space 2}  .060195{col 45}{space 1}   -2.83{col 54}{space 3}0.005{col 62}{space 4}-.2881423{col 75}{space 3}-.0520321
{txt}world_regions_russia {c |}{col 22}{res}{space 2}-.2233032{col 34}{space 2} .0275714{col 45}{space 1}   -8.10{col 54}{space 3}0.000{col 62}{space 4}-.2773765{col 75}{space 3}-.1692299
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 3.580252{col 34}{space 2} .1614554{col 45}{space 1}   22.17{col 54}{space 3}0.000{col 62}{space 4} 3.263604{col 75}{space 3}   3.8969
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
  {txt}Qatar: Treating {c |}
         women as {c |}
     second-class {c |}
         citizens {c |}      Freq.     Percent        Cum.
{hline 18}{c +}{hline 35}
strongly disagree {c |}{res}         49        2.45        2.45
{txt}         disagree {c |}{res}         94        4.71        7.16
{txt}      neither nor {c |}{res}        385       19.28       26.44
{txt}            agree {c |}{res}        635       31.80       58.24
{txt}    stronly agree {c |}{res}        834       41.76      100.00
{txt}{hline 18}{c +}{hline 35}
            Total {c |}{res}      1,997      100.00

{txt}Linear regression                               Number of obs     = {res}     1,920
                                                {txt}F(11, 1908)       =  {res}    23.53
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1196
                                                {txt}Root MSE          =    {res} .94199

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}   qat_state_2_women{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.1125906{col 34}{space 2} .0431787{col 45}{space 1}   -2.61{col 54}{space 3}0.009{col 62}{space 4}-.1972729{col 75}{space 3}-.0279082
{txt}{space 17}age {c |}{col 22}{res}{space 2} .0105021{col 34}{space 2} .0016493{col 45}{space 1}    6.37{col 54}{space 3}0.000{col 62}{space 4} .0072674{col 75}{space 3} .0137368
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.1241634{col 34}{space 2} .0457682{col 45}{space 1}   -2.71{col 54}{space 3}0.007{col 62}{space 4}-.2139244{col 75}{space 3}-.0344024
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} .0212406{col 34}{space 2} .0301835{col 45}{space 1}    0.70{col 54}{space 3}0.482{col 62}{space 4}-.0379555{col 75}{space 3} .0804368
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2}-.0095471{col 34}{space 2} .0651164{col 45}{space 1}   -0.15{col 54}{space 3}0.883{col 62}{space 4}-.1372539{col 75}{space 3} .1181596
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2}  .008227{col 34}{space 2} .0297478{col 45}{space 1}    0.28{col 54}{space 3}0.782{col 62}{space 4}-.0501147{col 75}{space 3} .0665686
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.0390973{col 34}{space 2} .0132114{col 45}{space 1}   -2.96{col 54}{space 3}0.003{col 62}{space 4}-.0650076{col 75}{space 3}-.0131869
{txt}football_consumption {c |}{col 22}{res}{space 2}-.0801224{col 34}{space 2} .0197164{col 45}{space 1}   -4.06{col 54}{space 3}0.000{col 62}{space 4}-.1187903{col 75}{space 3}-.0414544
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2} .1771186{col 34}{space 2} .0271022{col 45}{space 1}    6.54{col 54}{space 3}0.000{col 62}{space 4} .1239656{col 75}{space 3} .2302716
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2}-.1197285{col 34}{space 2} .0615224{col 45}{space 1}   -1.95{col 54}{space 3}0.052{col 62}{space 4}-.2403867{col 75}{space 3} .0009297
{txt}world_regions_russia {c |}{col 22}{res}{space 2}-.2179734{col 34}{space 2} .0279876{col 45}{space 1}   -7.79{col 54}{space 3}0.000{col 62}{space 4}-.2728629{col 75}{space 3}-.1630838
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 4.047941{col 34}{space 2} .1611468{col 45}{space 1}   25.12{col 54}{space 3}0.000{col 62}{space 4} 3.731898{col 75}{space 3} 4.363983
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
 {txt}Qatar: Dangerous {c |}
 country for gays {c |}
     and lesbians {c |}      Freq.     Percent        Cum.
{hline 18}{c +}{hline 35}
strongly disagree {c |}{res}         45        2.26        2.26
{txt}         disagree {c |}{res}         63        3.16        5.42
{txt}      neither nor {c |}{res}        278       13.95       19.37
{txt}            agree {c |}{res}        419       21.02       40.39
{txt}    stronly agree {c |}{res}      1,188       59.61      100.00
{txt}{hline 18}{c +}{hline 35}
            Total {c |}{res}      1,993      100.00

{txt}Linear regression                               Number of obs     = {res}     1,918
                                                {txt}F(11, 1906)       =  {res}    27.86
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1339
                                                {txt}Root MSE          =    {res} .90351

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}    qat_state_2_lgbt{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.0505474{col 34}{space 2} .0416052{col 45}{space 1}   -1.21{col 54}{space 3}0.225{col 62}{space 4}-.1321439{col 75}{space 3}  .031049
{txt}{space 17}age {c |}{col 22}{res}{space 2} .0123577{col 34}{space 2} .0015635{col 45}{space 1}    7.90{col 54}{space 3}0.000{col 62}{space 4} .0092914{col 75}{space 3}  .015424
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.1182529{col 34}{space 2} .0450853{col 45}{space 1}   -2.62{col 54}{space 3}0.009{col 62}{space 4}-.2066747{col 75}{space 3}-.0298311
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} .0721537{col 34}{space 2} .0304635{col 45}{space 1}    2.37{col 54}{space 3}0.018{col 62}{space 4} .0124085{col 75}{space 3}  .131899
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .0162392{col 34}{space 2} .0629396{col 45}{space 1}    0.26{col 54}{space 3}0.796{col 62}{space 4}-.1071985{col 75}{space 3}  .139677
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0264281{col 34}{space 2} .0284317{col 45}{space 1}    0.93{col 54}{space 3}0.353{col 62}{space 4}-.0293324{col 75}{space 3} .0821885
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.0299634{col 34}{space 2} .0124356{col 45}{space 1}   -2.41{col 54}{space 3}0.016{col 62}{space 4}-.0543522{col 75}{space 3}-.0055746
{txt}football_consumption {c |}{col 22}{res}{space 2} -.054541{col 34}{space 2} .0183672{col 45}{space 1}   -2.97{col 54}{space 3}0.003{col 62}{space 4}-.0905628{col 75}{space 3}-.0185191
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2} .2132289{col 34}{space 2} .0267141{col 45}{space 1}    7.98{col 54}{space 3}0.000{col 62}{space 4} .1608369{col 75}{space 3} .2656209
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2}-.1699935{col 34}{space 2} .0590829{col 45}{space 1}   -2.88{col 54}{space 3}0.004{col 62}{space 4}-.2858673{col 75}{space 3}-.0541196
{txt}world_regions_russia {c |}{col 22}{res}{space 2}-.1903035{col 34}{space 2} .0267905{col 45}{space 1}   -7.10{col 54}{space 3}0.000{col 62}{space 4}-.2428452{col 75}{space 3}-.1377618
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 3.802584{col 34}{space 2} .1625214{col 45}{space 1}   23.40{col 54}{space 3}0.000{col 62}{space 4} 3.483845{col 75}{space 3} 4.121322
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         
.         
.         ****************************************************************************
.         *Table A.5.3. World Cup start and change of opinions about world regions and countries
.         ****************************************************************************            
. 
.         *Control variables
.         #delimit ;
{txt}delimiter now ;
{com}.         global controls_3 = "
>                                                  age
>                                                  male
>                                                  education3 
>                                                  mig_backg 
>                                                  pol_interest 
>                                                  pol_left_right 
>                                                  football_consumption 
>                                                  football_reports
>                                                  born_gdr
>                                                  "
>         ;
{txt}
{com}.         #delimit cr     
{txt}delimiter now cr
{com}.                         
.         *Model 1
.         reg world_regions_arab wave $controls_3 world_regions_russia world_regions_us world_regions_asia world_regions_europe , robust 

{txt}Linear regression                               Number of obs     = {res}     1,906
                                                {txt}F(14, 1891)       =  {res}    46.08
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.2607
                                                {txt}Root MSE          =    {res} .64797

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}  world_regions_arab{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2} .0820856{col 34}{space 2} .0299606{col 45}{space 1}    2.74{col 54}{space 3}0.006{col 62}{space 4} .0233264{col 75}{space 3} .1408449
{txt}{space 17}age {c |}{col 22}{res}{space 2} .0000325{col 34}{space 2} .0011335{col 45}{space 1}    0.03{col 54}{space 3}0.977{col 62}{space 4}-.0021905{col 75}{space 3} .0022555
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.0173793{col 34}{space 2} .0318368{col 45}{space 1}   -0.55{col 54}{space 3}0.585{col 62}{space 4}-.0798184{col 75}{space 3} .0450597
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} .0833294{col 34}{space 2} .0206741{col 45}{space 1}    4.03{col 54}{space 3}0.000{col 62}{space 4}  .042783{col 75}{space 3} .1238758
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2}-.0645625{col 34}{space 2} .0476725{col 45}{space 1}   -1.35{col 54}{space 3}0.176{col 62}{space 4}-.1580587{col 75}{space 3} .0289337
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2}-.0291425{col 34}{space 2}  .020306{col 45}{space 1}   -1.44{col 54}{space 3}0.151{col 62}{space 4} -.068967{col 75}{space 3} .0106821
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2} -.038169{col 34}{space 2} .0093519{col 45}{space 1}   -4.08{col 54}{space 3}0.000{col 62}{space 4}-.0565101{col 75}{space 3}-.0198279
{txt}football_consumption {c |}{col 22}{res}{space 2} .0604145{col 34}{space 2} .0135899{col 45}{space 1}    4.45{col 54}{space 3}0.000{col 62}{space 4} .0337617{col 75}{space 3} .0870672
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}-.0579587{col 34}{space 2}  .018471{col 45}{space 1}   -3.14{col 54}{space 3}0.002{col 62}{space 4}-.0941844{col 75}{space 3}-.0217331
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .0465405{col 34}{space 2}  .042532{col 45}{space 1}    1.09{col 54}{space 3}0.274{col 62}{space 4} -.036874{col 75}{space 3}  .129955
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .2439019{col 34}{space 2} .0217578{col 45}{space 1}   11.21{col 54}{space 3}0.000{col 62}{space 4} .2012299{col 75}{space 3} .2865738
{txt}{space 4}world_regions_us {c |}{col 22}{res}{space 2} .1229547{col 34}{space 2}  .025877{col 45}{space 1}    4.75{col 54}{space 3}0.000{col 62}{space 4} .0722043{col 75}{space 3} .1737051
{txt}{space 2}world_regions_asia {c |}{col 22}{res}{space 2}  .284845{col 34}{space 2} .0260764{col 45}{space 1}   10.92{col 54}{space 3}0.000{col 62}{space 4} .2337036{col 75}{space 3} .3359865
{txt}world_regions_europe {c |}{col 22}{res}{space 2}-.0383379{col 34}{space 2} .0283691{col 45}{space 1}   -1.35{col 54}{space 3}0.177{col 62}{space 4}-.0939759{col 75}{space 3} .0173002
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} .6777012{col 34}{space 2} .1288044{col 45}{space 1}    5.26{col 54}{space 3}0.000{col 62}{space 4} .4250876{col 75}{space 3} .9303149
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         
.         *Model 2
.         reg world_regions_asia wave $controls_3 world_regions_russia world_regions_arab world_regions_us world_regions_europe , robust 

{txt}Linear regression                               Number of obs     = {res}     1,906
                                                {txt}F(14, 1891)       =  {res}    54.95
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.2742
                                                {txt}Root MSE          =    {res} .61102

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}  world_regions_asia{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.0321675{col 34}{space 2} .0281334{col 45}{space 1}   -1.14{col 54}{space 3}0.253{col 62}{space 4}-.0873432{col 75}{space 3} .0230082
{txt}{space 17}age {c |}{col 22}{res}{space 2}-.0017932{col 34}{space 2} .0010326{col 45}{space 1}   -1.74{col 54}{space 3}0.083{col 62}{space 4}-.0038184{col 75}{space 3} .0002319
{txt}{space 16}male {c |}{col 22}{res}{space 2} .0865078{col 34}{space 2} .0307118{col 45}{space 1}    2.82{col 54}{space 3}0.005{col 62}{space 4} .0262751{col 75}{space 3} .1467404
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} .0224345{col 34}{space 2} .0196922{col 45}{space 1}    1.14{col 54}{space 3}0.255{col 62}{space 4}-.0161862{col 75}{space 3} .0610552
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .0854065{col 34}{space 2} .0442629{col 45}{space 1}    1.93{col 54}{space 3}0.054{col 62}{space 4}-.0014027{col 75}{space 3} .1722157
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0353036{col 34}{space 2} .0187467{col 45}{space 1}    1.88{col 54}{space 3}0.060{col 62}{space 4}-.0014627{col 75}{space 3} .0720699
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2} -.016572{col 34}{space 2} .0080306{col 45}{space 1}   -2.06{col 54}{space 3}0.039{col 62}{space 4}-.0323218{col 75}{space 3}-.0008221
{txt}football_consumption {c |}{col 22}{res}{space 2}-.0284977{col 34}{space 2} .0130073{col 45}{space 1}   -2.19{col 54}{space 3}0.029{col 62}{space 4}-.0540077{col 75}{space 3}-.0029876
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2} .0101536{col 34}{space 2} .0172786{col 45}{space 1}    0.59{col 54}{space 3}0.557{col 62}{space 4}-.0237335{col 75}{space 3} .0440407
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .0660689{col 34}{space 2} .0391045{col 45}{space 1}    1.69{col 54}{space 3}0.091{col 62}{space 4}-.0106235{col 75}{space 3} .1427614
{txt}world_regions_russia {c |}{col 22}{res}{space 2}  .179431{col 34}{space 2} .0194454{col 45}{space 1}    9.23{col 54}{space 3}0.000{col 62}{space 4} .1412944{col 75}{space 3} .2175677
{txt}{space 2}world_regions_arab {c |}{col 22}{res}{space 2} .2532819{col 34}{space 2}  .023364{col 45}{space 1}   10.84{col 54}{space 3}0.000{col 62}{space 4} .2074601{col 75}{space 3} .2991038
{txt}{space 4}world_regions_us {c |}{col 22}{res}{space 2} .1403942{col 34}{space 2} .0231259{col 45}{space 1}    6.07{col 54}{space 3}0.000{col 62}{space 4} .0950392{col 75}{space 3} .1857492
{txt}world_regions_europe {c |}{col 22}{res}{space 2} .1789149{col 34}{space 2}  .025171{col 45}{space 1}    7.11{col 54}{space 3}0.000{col 62}{space 4}  .129549{col 75}{space 3} .2282809
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} .8526652{col 34}{space 2} .1176771{col 45}{space 1}    7.25{col 54}{space 3}0.000{col 62}{space 4} .6218746{col 75}{space 3} 1.083456
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 
.         *Model 3
.         reg world_regions_europe wave $controls_3 world_regions_russia world_regions_arab world_regions_asia world_regions_us , robust 

{txt}Linear regression                               Number of obs     = {res}     1,906
                                                {txt}F(14, 1891)       =  {res}    35.77
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.2450
                                                {txt}Root MSE          =    {res} .60306

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}world_regions_europe{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.0054433{col 34}{space 2} .0278333{col 45}{space 1}   -0.20{col 54}{space 3}0.845{col 62}{space 4}-.0600305{col 75}{space 3}  .049144
{txt}{space 17}age {c |}{col 22}{res}{space 2} .0044168{col 34}{space 2} .0010235{col 45}{space 1}    4.32{col 54}{space 3}0.000{col 62}{space 4} .0024094{col 75}{space 3} .0064241
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.0246173{col 34}{space 2}  .029668{col 45}{space 1}   -0.83{col 54}{space 3}0.407{col 62}{space 4}-.0828028{col 75}{space 3} .0335681
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} .1390752{col 34}{space 2} .0191804{col 45}{space 1}    7.25{col 54}{space 3}0.000{col 62}{space 4} .1014583{col 75}{space 3} .1766921
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .0251834{col 34}{space 2} .0429337{col 45}{space 1}    0.59{col 54}{space 3}0.558{col 62}{space 4}-.0590191{col 75}{space 3} .1093858
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0910152{col 34}{space 2} .0189729{col 45}{space 1}    4.80{col 54}{space 3}0.000{col 62}{space 4} .0538053{col 75}{space 3} .1282252
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.0004783{col 34}{space 2} .0083607{col 45}{space 1}   -0.06{col 54}{space 3}0.954{col 62}{space 4}-.0168756{col 75}{space 3} .0159189
{txt}football_consumption {c |}{col 22}{res}{space 2}-.0098812{col 34}{space 2} .0127881{col 45}{space 1}   -0.77{col 54}{space 3}0.440{col 62}{space 4}-.0349614{col 75}{space 3} .0151991
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2} .0910323{col 34}{space 2} .0173831{col 45}{space 1}    5.24{col 54}{space 3}0.000{col 62}{space 4} .0569403{col 75}{space 3} .1251243
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2}-.1166808{col 34}{space 2} .0364585{col 45}{space 1}   -3.20{col 54}{space 3}0.001{col 62}{space 4} -.188184{col 75}{space 3}-.0451777
{txt}world_regions_russia {c |}{col 22}{res}{space 2}-.0682729{col 34}{space 2} .0195941{col 45}{space 1}   -3.48{col 54}{space 3}0.001{col 62}{space 4}-.1067012{col 75}{space 3}-.0298447
{txt}{space 2}world_regions_arab {c |}{col 22}{res}{space 2}-.0332078{col 34}{space 2} .0245594{col 45}{space 1}   -1.35{col 54}{space 3}0.176{col 62}{space 4}-.0813742{col 75}{space 3} .0149586
{txt}{space 2}world_regions_asia {c |}{col 22}{res}{space 2} .1742861{col 34}{space 2}  .024931{col 45}{space 1}    6.99{col 54}{space 3}0.000{col 62}{space 4} .1253908{col 75}{space 3} .2231813
{txt}{space 4}world_regions_us {c |}{col 22}{res}{space 2} .2801774{col 34}{space 2} .0231552{col 45}{space 1}   12.10{col 54}{space 3}0.000{col 62}{space 4}  .234765{col 75}{space 3} .3255897
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 1.155425{col 34}{space 2}  .122381{col 45}{space 1}    9.44{col 54}{space 3}0.000{col 62}{space 4} .9154091{col 75}{space 3} 1.395441
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                         
.         *Model 4
.         reg world_regions_us wave $controls_3 world_regions_russia world_regions_arab world_regions_asia world_regions_europe , robust 

{txt}Linear regression                               Number of obs     = {res}     1,906
                                                {txt}F(14, 1891)       =  {res}    32.77
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.2039
                                                {txt}Root MSE          =    {res} .68882

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}    world_regions_us{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}  -.04198{col 34}{space 2} .0318691{col 45}{space 1}   -1.32{col 54}{space 3}0.188{col 62}{space 4}-.1044823{col 75}{space 3} .0205222
{txt}{space 17}age {c |}{col 22}{res}{space 2}-.0020944{col 34}{space 2} .0012021{col 45}{space 1}   -1.74{col 54}{space 3}0.082{col 62}{space 4} -.004452{col 75}{space 3} .0002633
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.0379272{col 34}{space 2} .0338769{col 45}{space 1}   -1.12{col 54}{space 3}0.263{col 62}{space 4}-.1043672{col 75}{space 3} .0285127
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}-.0732144{col 34}{space 2}  .021674{col 45}{space 1}   -3.38{col 54}{space 3}0.001{col 62}{space 4}-.1157218{col 75}{space 3} -.030707
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2}-.1651704{col 34}{space 2} .0506315{col 45}{space 1}   -3.26{col 54}{space 3}0.001{col 62}{space 4}-.2644699{col 75}{space 3}-.0658708
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2}-.0155156{col 34}{space 2} .0216249{col 45}{space 1}   -0.72{col 54}{space 3}0.473{col 62}{space 4}-.0579267{col 75}{space 3} .0268955
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2} .0199303{col 34}{space 2} .0098272{col 45}{space 1}    2.03{col 54}{space 3}0.043{col 62}{space 4} .0006569{col 75}{space 3} .0392037
{txt}football_consumption {c |}{col 22}{res}{space 2} .0464793{col 34}{space 2} .0144047{col 45}{space 1}    3.23{col 54}{space 3}0.001{col 62}{space 4} .0182286{col 75}{space 3}   .07473
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}-.0513555{col 34}{space 2} .0198797{col 45}{space 1}   -2.58{col 54}{space 3}0.010{col 62}{space 4}-.0903439{col 75}{space 3}-.0123671
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2}-.1166248{col 34}{space 2} .0466976{col 45}{space 1}   -2.50{col 54}{space 3}0.013{col 62}{space 4} -.208209{col 75}{space 3}-.0250405
{txt}world_regions_russia {c |}{col 22}{res}{space 2}-.0837211{col 34}{space 2} .0238961{col 45}{space 1}   -3.50{col 54}{space 3}0.000{col 62}{space 4}-.1305866{col 75}{space 3}-.0368556
{txt}{space 2}world_regions_arab {c |}{col 22}{res}{space 2} .1389444{col 34}{space 2} .0288323{col 45}{space 1}    4.82{col 54}{space 3}0.000{col 62}{space 4} .0823979{col 75}{space 3} .1954908
{txt}{space 2}world_regions_asia {c |}{col 22}{res}{space 2} .1784225{col 34}{space 2} .0297461{col 45}{space 1}    6.00{col 54}{space 3}0.000{col 62}{space 4} .1200838{col 75}{space 3} .2367611
{txt}world_regions_europe {c |}{col 22}{res}{space 2} .3655252{col 34}{space 2} .0289107{col 45}{space 1}   12.64{col 54}{space 3}0.000{col 62}{space 4} .3088251{col 75}{space 3} .4222254
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}  1.20434{col 34}{space 2} .1354784{col 45}{space 1}    8.89{col 54}{space 3}0.000{col 62}{space 4} .9386375{col 75}{space 3} 1.470043
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                         
.         
.         ****************************************************************************
.         *Table A.5.4. World Cup start and change of opinions about German media and boycott
.         ****************************************************************************            
.         
.         *Control variables
.         #delimit ;
{txt}delimiter now ;
{com}.         global controls_4 = "
>                                                  age
>                                                  male
>                                                  education3 
>                                                  mig_backg 
>                                                  pol_interest 
>                                                  pol_left_right 
>                                                  football_consumption 
>                                                  football_reports
>                                                  born_gdr
>                                                  world_regions_russia
>                                                  "
>         ;
{txt}
{com}.         #delimit cr     
{txt}delimiter now cr
{com}.                                                         
.         *Dependent variables
.         #delimit ;
{txt}delimiter now ;
{com}.         tokenize                           "
>                                                    qat_state_2_speech
>                                                    qat_state_2_critic
>                                                    pol_media_opinion
>                                                    football_boycott_pol 
>                                                    ";
{txt}
{com}.         #delimit cr     
{txt}delimiter now cr
{com}. 
.         *Models 1-4
.         forval j=1/4  {c -(} 
{txt}  2{com}.         tab ``j''
{txt}  3{com}.         
.         reg ``j'' wave $controls_4 , robust
{txt}  4{com}.         eststo model_4_`j'_1    
{txt}  5{com}.                 
.         {c )-}               

 {txt}Germany: Freedom {c |}
    of expression {c |}
 similar to Qatar {c |}      Freq.     Percent        Cum.
{hline 18}{c +}{hline 35}
strongly disagree {c |}{res}        686       34.42       34.42
{txt}         disagree {c |}{res}        502       25.19       59.61
{txt}      neither nor {c |}{res}        490       24.59       84.19
{txt}            agree {c |}{res}        197        9.88       94.08
{txt}    stronly agree {c |}{res}        118        5.92      100.00
{txt}{hline 18}{c +}{hline 35}
            Total {c |}{res}      1,993      100.00

{txt}Linear regression                               Number of obs     = {res}     1,918
                                                {txt}F(11, 1906)       =  {res}    35.28
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1693
                                                {txt}Root MSE          =    {res} 1.1015

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}  qat_state_2_speech{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}  .122944{col 34}{space 2} .0502009{col 45}{space 1}    2.45{col 54}{space 3}0.014{col 62}{space 4} .0244896{col 75}{space 3} .2213984
{txt}{space 17}age {c |}{col 22}{res}{space 2}-.0054834{col 34}{space 2} .0018729{col 45}{space 1}   -2.93{col 54}{space 3}0.003{col 62}{space 4}-.0091565{col 75}{space 3}-.0018104
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.0904161{col 34}{space 2} .0549072{col 45}{space 1}   -1.65{col 54}{space 3}0.100{col 62}{space 4}-.1981006{col 75}{space 3} .0172684
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}-.1623878{col 34}{space 2} .0340912{col 45}{space 1}   -4.76{col 54}{space 3}0.000{col 62}{space 4}-.2292478{col 75}{space 3}-.0955279
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .1150156{col 34}{space 2} .0739273{col 45}{space 1}    1.56{col 54}{space 3}0.120{col 62}{space 4}-.0299713{col 75}{space 3} .2600024
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0395896{col 34}{space 2}  .034457{col 45}{space 1}    1.15{col 54}{space 3}0.251{col 62}{space 4}-.0279877{col 75}{space 3}  .107167
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}  .090189{col 34}{space 2} .0152218{col 45}{space 1}    5.92{col 54}{space 3}0.000{col 62}{space 4} .0603359{col 75}{space 3} .1200421
{txt}football_consumption {c |}{col 22}{res}{space 2} .0572032{col 34}{space 2} .0242235{col 45}{space 1}    2.36{col 54}{space 3}0.018{col 62}{space 4} .0096958{col 75}{space 3} .1047106
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}-.1862135{col 34}{space 2} .0321038{col 45}{space 1}   -5.80{col 54}{space 3}0.000{col 62}{space 4}-.2491758{col 75}{space 3}-.1232511
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .1962586{col 34}{space 2}  .070087{col 45}{space 1}    2.80{col 54}{space 3}0.005{col 62}{space 4} .0588033{col 75}{space 3} .3337138
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .3971369{col 34}{space 2} .0328148{col 45}{space 1}   12.10{col 54}{space 3}0.000{col 62}{space 4} .3327802{col 75}{space 3} .4614936
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 1.778172{col 34}{space 2} .1831895{col 45}{space 1}    9.71{col 54}{space 3}0.000{col 62}{space 4} 1.418899{col 75}{space 3} 2.137445
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Germany: Too much {c |}
     criticism by {c |}
            media {c |}      Freq.     Percent        Cum.
{hline 18}{c +}{hline 35}
strongly disagree {c |}{res}        559       28.06       28.06
{txt}         disagree {c |}{res}        528       26.51       54.57
{txt}      neither nor {c |}{res}        515       25.85       80.42
{txt}            agree {c |}{res}        260       13.05       93.47
{txt}    stronly agree {c |}{res}        130        6.53      100.00
{txt}{hline 18}{c +}{hline 35}
            Total {c |}{res}      1,992      100.00

{txt}Linear regression                               Number of obs     = {res}     1,918
                                                {txt}F(11, 1906)       =  {res}    17.40
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1010
                                                {txt}Root MSE          =    {res} 1.1475

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}  qat_state_2_critic{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2} .1135781{col 34}{space 2} .0526216{col 45}{space 1}    2.16{col 54}{space 3}0.031{col 62}{space 4} .0103762{col 75}{space 3} .2167801
{txt}{space 17}age {c |}{col 22}{res}{space 2}-.0036841{col 34}{space 2} .0019573{col 45}{space 1}   -1.88{col 54}{space 3}0.060{col 62}{space 4}-.0075228{col 75}{space 3} .0001547
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.0577062{col 34}{space 2}  .056314{col 45}{space 1}   -1.02{col 54}{space 3}0.306{col 62}{space 4}-.1681497{col 75}{space 3} .0527373
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}-.0697996{col 34}{space 2} .0356254{col 45}{space 1}   -1.96{col 54}{space 3}0.050{col 62}{space 4}-.1396684{col 75}{space 3} .0000693
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .0662922{col 34}{space 2} .0771404{col 45}{space 1}    0.86{col 54}{space 3}0.390{col 62}{space 4}-.0849963{col 75}{space 3} .2175807
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0131041{col 34}{space 2} .0348922{col 45}{space 1}    0.38{col 54}{space 3}0.707{col 62}{space 4}-.0553267{col 75}{space 3} .0815349
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2} .0466032{col 34}{space 2} .0152631{col 45}{space 1}    3.05{col 54}{space 3}0.002{col 62}{space 4} .0166691{col 75}{space 3} .0765373
{txt}football_consumption {c |}{col 22}{res}{space 2} .0968103{col 34}{space 2} .0239639{col 45}{space 1}    4.04{col 54}{space 3}0.000{col 62}{space 4} .0498121{col 75}{space 3} .1438084
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}-.1979201{col 34}{space 2} .0336261{col 45}{space 1}   -5.89{col 54}{space 3}0.000{col 62}{space 4} -.263868{col 75}{space 3}-.1319723
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .2165257{col 34}{space 2} .0690023{col 45}{space 1}    3.14{col 54}{space 3}0.002{col 62}{space 4} .0811978{col 75}{space 3} .3518537
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .2938446{col 34}{space 2} .0331378{col 45}{space 1}    8.87{col 54}{space 3}0.000{col 62}{space 4} .2288544{col 75}{space 3} .3588349
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 2.085847{col 34}{space 2} .1917437{col 45}{space 1}   10.88{col 54}{space 3}0.000{col 62}{space 4} 1.709797{col 75}{space 3} 2.461896
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
         {txt}Germany: {c |}
    Imposition of {c |}
 opinion by media {c |}      Freq.     Percent        Cum.
{hline 18}{c +}{hline 35}
strongly disagree {c |}{res}        134        6.70        6.70
{txt}         disagree {c |}{res}        364       18.21       24.91
{txt}      neither nor {c |}{res}        740       37.02       61.93
{txt}            agree {c |}{res}        445       22.26       84.19
{txt}    stronly agree {c |}{res}        316       15.81      100.00
{txt}{hline 18}{c +}{hline 35}
            Total {c |}{res}      1,999      100.00

{txt}Linear regression                               Number of obs     = {res}     1,921
                                                {txt}F(11, 1909)       =  {res}    18.48
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0938
                                                {txt}Root MSE          =    {res} 1.0715

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}   pol_media_opinion{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2} .1045263{col 34}{space 2} .0487913{col 45}{space 1}    2.14{col 54}{space 3}0.032{col 62}{space 4} .0088364{col 75}{space 3} .2002162
{txt}{space 17}age {c |}{col 22}{res}{space 2}-.0011566{col 34}{space 2} .0018375{col 45}{space 1}   -0.63{col 54}{space 3}0.529{col 62}{space 4}-.0047602{col 75}{space 3}  .002447
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.0081863{col 34}{space 2} .0526616{col 45}{space 1}   -0.16{col 54}{space 3}0.876{col 62}{space 4}-.1114667{col 75}{space 3} .0950941
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}-.0324464{col 34}{space 2} .0332419{col 45}{space 1}   -0.98{col 54}{space 3}0.329{col 62}{space 4}-.0976406{col 75}{space 3} .0327478
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .1273406{col 34}{space 2} .0709199{col 45}{space 1}    1.80{col 54}{space 3}0.073{col 62}{space 4} -.011748{col 75}{space 3} .2664291
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0163482{col 34}{space 2} .0324904{col 45}{space 1}    0.50{col 54}{space 3}0.615{col 62}{space 4}-.0473722{col 75}{space 3} .0800686
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2} .0872446{col 34}{space 2} .0135398{col 45}{space 1}    6.44{col 54}{space 3}0.000{col 62}{space 4} .0606902{col 75}{space 3} .1137991
{txt}football_consumption {c |}{col 22}{res}{space 2} .0165695{col 34}{space 2} .0225136{col 45}{space 1}    0.74{col 54}{space 3}0.462{col 62}{space 4}-.0275844{col 75}{space 3} .0607234
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2} .0193137{col 34}{space 2} .0301278{col 45}{space 1}    0.64{col 54}{space 3}0.522{col 62}{space 4}-.0397731{col 75}{space 3} .0784005
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .1316193{col 34}{space 2} .0650687{col 45}{space 1}    2.02{col 54}{space 3}0.043{col 62}{space 4} .0040062{col 75}{space 3} .2592325
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .2952544{col 34}{space 2}  .030884{col 45}{space 1}    9.56{col 54}{space 3}0.000{col 62}{space 4} .2346844{col 75}{space 3} .3558243
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}  2.08891{col 34}{space 2} .1670072{col 45}{space 1}   12.51{col 54}{space 3}0.000{col 62}{space 4} 1.761375{col 75}{space 3} 2.416446
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
 {txt}Germany: Boycott {c |}
of tournaments by {c |}
      politicians {c |}      Freq.     Percent        Cum.
{hline 18}{c +}{hline 35}
strongly disagree {c |}{res}        139        6.92        6.92
{txt}         disagree {c |}{res}        208       10.36       17.28
{txt}      neither nor {c |}{res}        568       28.29       45.57
{txt}            agree {c |}{res}        473       23.56       69.12
{txt}    stronly agree {c |}{res}        620       30.88      100.00
{txt}{hline 18}{c +}{hline 35}
            Total {c |}{res}      2,008      100.00

{txt}Linear regression                               Number of obs     = {res}     1,928
                                                {txt}F(11, 1916)       =  {res}    20.86
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1016
                                                {txt}Root MSE          =    {res} 1.1545

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}football_boycott_pol{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.1339225{col 34}{space 2} .0527737{col 45}{space 1}   -2.54{col 54}{space 3}0.011{col 62}{space 4}-.2374224{col 75}{space 3}-.0304225
{txt}{space 17}age {c |}{col 22}{res}{space 2} .0060165{col 34}{space 2} .0019847{col 45}{space 1}    3.03{col 54}{space 3}0.002{col 62}{space 4} .0021242{col 75}{space 3} .0099088
{txt}{space 16}male {c |}{col 22}{res}{space 2} .0057393{col 34}{space 2}  .055514{col 45}{space 1}    0.10{col 54}{space 3}0.918{col 62}{space 4}-.1031349{col 75}{space 3} .1146135
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}  .051428{col 34}{space 2} .0358695{col 45}{space 1}    1.43{col 54}{space 3}0.152{col 62}{space 4}-.0189194{col 75}{space 3} .1217754
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2}-.2078008{col 34}{space 2} .0842647{col 45}{space 1}   -2.47{col 54}{space 3}0.014{col 62}{space 4} -.373061{col 75}{space 3}-.0425407
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0288044{col 34}{space 2} .0356805{col 45}{space 1}    0.81{col 54}{space 3}0.420{col 62}{space 4}-.0411723{col 75}{space 3} .0987811
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.0576664{col 34}{space 2}   .01563{col 45}{space 1}   -3.69{col 54}{space 3}0.000{col 62}{space 4}-.0883199{col 75}{space 3}-.0270129
{txt}football_consumption {c |}{col 22}{res}{space 2}-.1297542{col 34}{space 2} .0243468{col 45}{space 1}   -5.33{col 54}{space 3}0.000{col 62}{space 4}-.1775033{col 75}{space 3}-.0820052
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2} .2426498{col 34}{space 2} .0325655{col 45}{space 1}    7.45{col 54}{space 3}0.000{col 62}{space 4} .1787822{col 75}{space 3} .3065173
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2}-.1649903{col 34}{space 2} .0717836{col 45}{space 1}   -2.30{col 54}{space 3}0.022{col 62}{space 4}-.3057725{col 75}{space 3} -.024208
{txt}world_regions_russia {c |}{col 22}{res}{space 2}-.2146277{col 34}{space 2} .0345159{col 45}{space 1}   -6.22{col 54}{space 3}0.000{col 62}{space 4}-.2823204{col 75}{space 3}-.1469349
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}  3.71846{col 34}{space 2} .1968756{col 45}{space 1}   18.89{col 54}{space 3}0.000{col 62}{space 4} 3.332347{col 75}{space 3} 4.104573
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         
.                 
.         ****************************************************************************
.         *Table A.5.5. World Cup start and change of political opinions
.         ****************************************************************************            
. 
.         *Control variables
.         #delimit ;
{txt}delimiter now ;
{com}.         global controls_5 = "
>                                                  age
>                                                  male
>                                                  education3 
>                                                  mig_backg 
>                                                  pol_interest 
>                                                  pol_left_right 
>                                                  football_consumption 
>                                                  football_reports
>                                                  born_gdr
>                                                  world_regions_russia
>                                                  "
>         ;
{txt}
{com}.         #delimit cr     
{txt}delimiter now cr
{com}.         
.         *Dependent variables
.         #delimit ;
{txt}delimiter now ;
{com}.         tokenize                           "    
>                                                    pol_woke_female
>                                                    pol_xeno_mosque
>                                                    pol_woke_homo
>                                                    pol_xeno_security
>                                                    ";
{txt}
{com}.         #delimit cr                                                        
{txt}delimiter now cr
{com}. 
.         *Models 1-4
.         forval j=1/4  {c -(} 
{txt}  2{com}.         tab ``j''
{txt}  3{com}.         
.         reg ``j'' wave $controls_5 , robust                                     
{txt}  4{com}.         
.         {c )-}               

         {txt}Germany: {c |}
     Professional {c |}
disadvantages for {c |}
            women {c |}      Freq.     Percent        Cum.
{hline 18}{c +}{hline 35}
strongly disagree {c |}{res}        140        7.00        7.00
{txt}         disagree {c |}{res}        308       15.41       22.41
{txt}      neither nor {c |}{res}        750       37.52       59.93
{txt}            agree {c |}{res}        569       28.46       88.39
{txt}    stronly agree {c |}{res}        232       11.61      100.00
{txt}{hline 18}{c +}{hline 35}
            Total {c |}{res}      1,999      100.00

{txt}Linear regression                               Number of obs     = {res}     1,923
                                                {txt}F(11, 1911)       =  {res}    14.73
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0844
                                                {txt}Root MSE          =    {res} 1.0209

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}     pol_woke_female{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2} .0023381{col 34}{space 2} .0468579{col 45}{space 1}    0.05{col 54}{space 3}0.960{col 62}{space 4}-.0895599{col 75}{space 3}  .094236
{txt}{space 17}age {c |}{col 22}{res}{space 2} .0046484{col 34}{space 2} .0016936{col 45}{space 1}    2.74{col 54}{space 3}0.006{col 62}{space 4} .0013268{col 75}{space 3}   .00797
{txt}{space 16}male {c |}{col 22}{res}{space 2} -.392685{col 34}{space 2} .0505142{col 45}{space 1}   -7.77{col 54}{space 3}0.000{col 62}{space 4}-.4917538{col 75}{space 3}-.2936163
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} -.063945{col 34}{space 2}  .030947{col 45}{space 1}   -2.07{col 54}{space 3}0.039{col 62}{space 4}-.1246385{col 75}{space 3}-.0032516
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .0548633{col 34}{space 2} .0718606{col 45}{space 1}    0.76{col 54}{space 3}0.445{col 62}{space 4}-.0860701{col 75}{space 3} .1957967
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2}-.0200871{col 34}{space 2} .0309681{col 45}{space 1}   -0.65{col 54}{space 3}0.517{col 62}{space 4}-.0808219{col 75}{space 3} .0406477
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2} -.102877{col 34}{space 2} .0139032{col 45}{space 1}   -7.40{col 54}{space 3}0.000{col 62}{space 4}-.1301441{col 75}{space 3}-.0756099
{txt}football_consumption {c |}{col 22}{res}{space 2}-.0033762{col 34}{space 2} .0206649{col 45}{space 1}   -0.16{col 54}{space 3}0.870{col 62}{space 4}-.0439043{col 75}{space 3}  .037152
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2} .0155801{col 34}{space 2} .0288673{col 45}{space 1}    0.54{col 54}{space 3}0.589{col 62}{space 4}-.0410346{col 75}{space 3} .0721948
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} -.090725{col 34}{space 2} .0641548{col 45}{space 1}   -1.41{col 54}{space 3}0.157{col 62}{space 4}-.2165458{col 75}{space 3} .0350958
{txt}world_regions_russia {c |}{col 22}{res}{space 2}-.0291511{col 34}{space 2} .0301046{col 45}{space 1}   -0.97{col 54}{space 3}0.333{col 62}{space 4}-.0881925{col 75}{space 3} .0298903
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 3.995493{col 34}{space 2} .1668267{col 45}{space 1}   23.95{col 54}{space 3}0.000{col 62}{space 4} 3.668311{col 75}{space 3} 4.322674
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
   {txt}Germany: Calls {c |}
  for prayer from {c |}
          mosques {c |}      Freq.     Percent        Cum.
{hline 18}{c +}{hline 35}
strongly disagree {c |}{res}        597       30.02       30.02
{txt}         disagree {c |}{res}        448       22.52       52.54
{txt}      neither nor {c |}{res}        495       24.89       77.43
{txt}            agree {c |}{res}        283       14.23       91.65
{txt}    stronly agree {c |}{res}        166        8.35      100.00
{txt}{hline 18}{c +}{hline 35}
            Total {c |}{res}      1,989      100.00

{txt}Linear regression                               Number of obs     = {res}     1,912
                                                {txt}F(11, 1900)       =  {res}    22.91
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1207
                                                {txt}Root MSE          =    {res} 1.2035

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}     pol_xeno_mosque{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2} -.022157{col 34}{space 2} .0552917{col 45}{space 1}   -0.40{col 54}{space 3}0.689{col 62}{space 4}-.1305958{col 75}{space 3} .0862819
{txt}{space 17}age {c |}{col 22}{res}{space 2}-.0094727{col 34}{space 2}  .002121{col 45}{space 1}   -4.47{col 54}{space 3}0.000{col 62}{space 4}-.0136325{col 75}{space 3}-.0053129
{txt}{space 16}male {c |}{col 22}{res}{space 2} .0461655{col 34}{space 2} .0585426{col 45}{space 1}    0.79{col 54}{space 3}0.430{col 62}{space 4} -.068649{col 75}{space 3}   .16098
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} .2003454{col 34}{space 2}  .037667{col 45}{space 1}    5.32{col 54}{space 3}0.000{col 62}{space 4} .1264725{col 75}{space 3} .2742184
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .0331479{col 34}{space 2} .0865712{col 45}{space 1}    0.38{col 54}{space 3}0.702{col 62}{space 4}-.1366366{col 75}{space 3} .2029325
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2}-.0014487{col 34}{space 2} .0356868{col 45}{space 1}   -0.04{col 54}{space 3}0.968{col 62}{space 4}-.0714382{col 75}{space 3} .0685408
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.1707649{col 34}{space 2} .0166932{col 45}{space 1}  -10.23{col 54}{space 3}0.000{col 62}{space 4}-.2035039{col 75}{space 3}-.1380259
{txt}football_consumption {c |}{col 22}{res}{space 2} .0755368{col 34}{space 2} .0248615{col 45}{space 1}    3.04{col 54}{space 3}0.002{col 62}{space 4} .0267781{col 75}{space 3} .1242955
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}-.0397001{col 34}{space 2} .0337709{col 45}{space 1}   -1.18{col 54}{space 3}0.240{col 62}{space 4}-.1059319{col 75}{space 3} .0265318
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2}-.1468892{col 34}{space 2} .0735065{col 45}{space 1}   -2.00{col 54}{space 3}0.046{col 62}{space 4}-.2910512{col 75}{space 3}-.0027273
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .1255853{col 34}{space 2} .0352207{col 45}{space 1}    3.57{col 54}{space 3}0.000{col 62}{space 4} .0565099{col 75}{space 3} .1946607
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}   3.1223{col 34}{space 2} .1982395{col 45}{space 1}   15.75{col 54}{space 3}0.000{col 62}{space 4}  2.73351{col 75}{space 3}  3.51109
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
         {txt}Germany: {c |}
      Exaggerated {c |}
     demands from {c |}
      homosexuals {c |}      Freq.     Percent        Cum.
{hline 18}{c +}{hline 35}
strongly disagree {c |}{res}        445       22.24       22.24
{txt}         disagree {c |}{res}        421       21.04       43.28
{txt}      neither nor {c |}{res}        541       27.04       70.31
{txt}            agree {c |}{res}        297       14.84       85.16
{txt}    stronly agree {c |}{res}        297       14.84      100.00
{txt}{hline 18}{c +}{hline 35}
            Total {c |}{res}      2,001      100.00

{txt}Linear regression                               Number of obs     = {res}     1,924
                                                {txt}F(11, 1912)       =  {res}    34.15
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1529
                                                {txt}Root MSE          =    {res} 1.2385

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}       pol_woke_homo{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2} .1451186{col 34}{space 2} .0567022{col 45}{space 1}    2.56{col 54}{space 3}0.011{col 62}{space 4} .0339139{col 75}{space 3} .2563233
{txt}{space 17}age {c |}{col 22}{res}{space 2}-.0014945{col 34}{space 2} .0021368{col 45}{space 1}   -0.70{col 54}{space 3}0.484{col 62}{space 4}-.0056851{col 75}{space 3} .0026961
{txt}{space 16}male {c |}{col 22}{res}{space 2} .2602395{col 34}{space 2} .0608639{col 45}{space 1}    4.28{col 54}{space 3}0.000{col 62}{space 4}  .140873{col 75}{space 3} .3796061
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}-.1503617{col 34}{space 2} .0386586{col 45}{space 1}   -3.89{col 54}{space 3}0.000{col 62}{space 4}-.2261792{col 75}{space 3}-.0745442
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .2505769{col 34}{space 2} .0836185{col 45}{space 1}    3.00{col 54}{space 3}0.003{col 62}{space 4} .0865839{col 75}{space 3} .4145699
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0955539{col 34}{space 2} .0374105{col 45}{space 1}    2.55{col 54}{space 3}0.011{col 62}{space 4} .0221843{col 75}{space 3} .1689235
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2} .1755705{col 34}{space 2} .0160415{col 45}{space 1}   10.94{col 54}{space 3}0.000{col 62}{space 4} .1441098{col 75}{space 3} .2070311
{txt}football_consumption {c |}{col 22}{res}{space 2} .0650108{col 34}{space 2} .0253594{col 45}{space 1}    2.56{col 54}{space 3}0.010{col 62}{space 4} .0152758{col 75}{space 3} .1147458
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}-.1135308{col 34}{space 2} .0348563{col 45}{space 1}   -3.26{col 54}{space 3}0.001{col 62}{space 4}-.1818912{col 75}{space 3}-.0451704
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .0913539{col 34}{space 2} .0743291{col 45}{space 1}    1.23{col 54}{space 3}0.219{col 62}{space 4}-.0544207{col 75}{space 3} .2371286
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .2566987{col 34}{space 2}  .035433{col 45}{space 1}    7.24{col 54}{space 3}0.000{col 62}{space 4} .1872074{col 75}{space 3} .3261901
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 1.339864{col 34}{space 2} .1994516{col 45}{space 1}    6.72{col 54}{space 3}0.000{col 62}{space 4} .9486989{col 75}{space 3}  1.73103
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Germany: Security {c |}
  threats through {c |}
      immigration {c |}      Freq.     Percent        Cum.
{hline 18}{c +}{hline 35}
strongly disagree {c |}{res}        251       12.60       12.60
{txt}         disagree {c |}{res}        344       17.27       29.87
{txt}      neither nor {c |}{res}        619       31.07       60.94
{txt}            agree {c |}{res}        396       19.88       80.82
{txt}    stronly agree {c |}{res}        382       19.18      100.00
{txt}{hline 18}{c +}{hline 35}
            Total {c |}{res}      1,992      100.00

{txt}Linear regression                               Number of obs     = {res}     1,915
                                                {txt}F(11, 1903)       =  {res}    27.98
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1416
                                                {txt}Root MSE          =    {res} 1.1819

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}   pol_xeno_security{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2} .1218335{col 34}{space 2} .0541083{col 45}{space 1}    2.25{col 54}{space 3}0.024{col 62}{space 4} .0157158{col 75}{space 3} .2279513
{txt}{space 17}age {c |}{col 22}{res}{space 2} .0035448{col 34}{space 2} .0020643{col 45}{space 1}    1.72{col 54}{space 3}0.086{col 62}{space 4}-.0005037{col 75}{space 3} .0075933
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.0702333{col 34}{space 2} .0581191{col 45}{space 1}   -1.21{col 54}{space 3}0.227{col 62}{space 4}-.1842173{col 75}{space 3} .0437506
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}-.2507774{col 34}{space 2} .0363262{col 45}{space 1}   -6.90{col 54}{space 3}0.000{col 62}{space 4}-.3220208{col 75}{space 3}-.1795339
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2}-.0781484{col 34}{space 2} .0767794{col 45}{space 1}   -1.02{col 54}{space 3}0.309{col 62}{space 4}-.2287291{col 75}{space 3} .0724323
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0652427{col 34}{space 2} .0366383{col 45}{space 1}    1.78{col 54}{space 3}0.075{col 62}{space 4}-.0066128{col 75}{space 3} .1370982
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2} .1937206{col 34}{space 2} .0163289{col 45}{space 1}   11.86{col 54}{space 3}0.000{col 62}{space 4} .1616961{col 75}{space 3}  .225745
{txt}football_consumption {c |}{col 22}{res}{space 2} .0112019{col 34}{space 2} .0251005{col 45}{space 1}    0.45{col 54}{space 3}0.655{col 62}{space 4}-.0380255{col 75}{space 3} .0604294
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2} -.030814{col 34}{space 2} .0345753{col 45}{space 1}   -0.89{col 54}{space 3}0.373{col 62}{space 4}-.0986234{col 75}{space 3} .0369954
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .1218029{col 34}{space 2} .0717962{col 45}{space 1}    1.70{col 54}{space 3}0.090{col 62}{space 4}-.0190046{col 75}{space 3} .2626105
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .1165794{col 34}{space 2} .0339345{col 45}{space 1}    3.44{col 54}{space 3}0.001{col 62}{space 4} .0500266{col 75}{space 3} .1831322
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 2.079908{col 34}{space 2} .1936922{col 45}{space 1}   10.74{col 54}{space 3}0.000{col 62}{space 4} 1.700036{col 75}{space 3} 2.459779
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         
.         
.         ****************************************************************************
.         *Figure A.5.1. Respondents who planned to watch / reportedly watched World Cup opener 
.         ****************************************************************************    
.         
.         *Preserving data
.         preserve
{txt}
{com}.         
.         *Number of respondents
.         gen numb_respond=1 if football_opening_cat!=.
{txt}(4 missing values generated)

{com}.         
.         *Generating binary watching variable
.         recode football_opening_cat (1 = 0) (2 3 = 1), gen(football_opening_bin)
{txt}(2004 differences between football_opening_cat and football_opening_bin)

{com}.         
.         *Aggregating data 
.         collapse (sum) football_opening_bin numb_respond, by(wave) 
{txt}
{com}.         
.         *Calculating share
.         gen football_opening_share=(football_opening_bin / numb_respond)*100
{txt}
{com}.         
.         *Generating xaxis
.         recode wave (0 = .5) (1 = 0), gen(xaxis)
{txt}(2 differences between wave and xaxis)

{com}.         
.         *Graph
.         #delimit ;
{txt}delimiter now ;
{com}.         twoway (dropline football_opening_share xaxis if wave==0, horizontal mcolor(black) lcolor(black) lwidth(*0.5))
>                    (dropline football_opening_share xaxis if wave==1, horizontal mcolor(black) lcolor(black) lwidth(*0.5))
>                    ,
>                         ysize(1)
>                         xsize(1.2)                      
>                         yscale(range(-.2 1.1) noline titlegap(*+5))
>                         xscale(range(0 50) noextend titlegap(*+7))
>                         ylabel(.5 `" "Planned to watch" " " "(Wave 1) " "' 
>                                         0 `" "Reportedly watched" " " "(Wave 2) " "', notick angle(horizontal) nogrid)
>                         xlabel(0(10)50)
>                         ytick(, tlength(*0.5))                  
>                         ytitle("")
>                         xtitle("Respondents (in %)")                    
>                         graphregion(color(white) lcolor(white) lalign(outside)  margin(t=15 b=15))                      
>                         legend(off)
>                    ;
{res}{txt}
{com}.         #delimit cr             
{txt}delimiter now cr
{com}.         graph export "$path\figure_A_5_1.pdf", replace as(pdf)  
{txt}(file C:\Users\pxq521\Desktop\Glaessel_Scharpf_Edwards_Sportswashing_JoP_Replication\figure_A_5_1.pdf written in PDF format)

{com}.         
.         *Restoring data
.         restore         
{txt}
{com}.         
.         
.         ****************************************************************************
.         *Figure A.5.2. Marginal effects of factors influencing people's decision to watch the World Cup opener
.         ****************************************************************************    
.         
.         *Preserving data
.         preserve
{txt}
{com}.         
.         *Control variables
.         #delimit ;
{txt}delimiter now ;
{com}.         global controls_1 = "
>                                                  age
>                                                  male 
>                                                  education3 
>                                                  mig_backg 
>                                                  pol_interest 
>                                                  pol_left_right 
>                                                  football_consumption   
>                                                  football_reports
>                                                  born_gdr
>                                                  world_regions_russia
>                                                  "
>         ;
{txt}
{com}.         #delimit cr
{txt}delimiter now cr
{com}.         
.         *Model 1
.         reg football_opening_cat $controls_1 if wave==0, robust

{txt}Linear regression                               Number of obs     = {res}       963
                                                {txt}F(10, 952)        =  {res}    31.31
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.2324
                                                {txt}Root MSE          =    {res} .65581

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}football_opening_cat{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 17}age {c |}{col 22}{res}{space 2}-.0065178{col 34}{space 2} .0014855{col 45}{space 1}   -4.39{col 54}{space 3}0.000{col 62}{space 4} -.009433{col 75}{space 3}-.0036025
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.0612556{col 34}{space 2} .0446423{col 45}{space 1}   -1.37{col 54}{space 3}0.170{col 62}{space 4}-.1488643{col 75}{space 3} .0263531
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}-.0860439{col 34}{space 2} .0291443{col 45}{space 1}   -2.95{col 54}{space 3}0.003{col 62}{space 4}-.1432385{col 75}{space 3}-.0288494
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .2112189{col 34}{space 2} .0699631{col 45}{space 1}    3.02{col 54}{space 3}0.003{col 62}{space 4} .0739192{col 75}{space 3} .3485185
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0995357{col 34}{space 2} .0260654{col 45}{space 1}    3.82{col 54}{space 3}0.000{col 62}{space 4} .0483835{col 75}{space 3} .1506879
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2} .0166603{col 34}{space 2} .0115993{col 45}{space 1}    1.44{col 54}{space 3}0.151{col 62}{space 4}-.0061028{col 75}{space 3} .0394234
{txt}football_consumption {c |}{col 22}{res}{space 2} .2540598{col 34}{space 2} .0187095{col 45}{space 1}   13.58{col 54}{space 3}0.000{col 62}{space 4} .2173433{col 75}{space 3} .2907763
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}-.0363406{col 34}{space 2} .0263167{col 45}{space 1}   -1.38{col 54}{space 3}0.168{col 62}{space 4}-.0879861{col 75}{space 3} .0153049
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .1132042{col 34}{space 2} .0566183{col 45}{space 1}    2.00{col 54}{space 3}0.046{col 62}{space 4}  .002093{col 75}{space 3} .2243153
{txt}world_regions_russia {c |}{col 22}{res}{space 2}  .035695{col 34}{space 2} .0268041{col 45}{space 1}    1.33{col 54}{space 3}0.183{col 62}{space 4}-.0169068{col 75}{space 3} .0882969
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} .9655081{col 34}{space 2} .1434465{col 45}{space 1}    6.73{col 54}{space 3}0.000{col 62}{space 4} .6840002{col 75}{space 3} 1.247016
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         eststo model_1_1_1
{txt}
{com}.         margins , dydx(*) at((asobserved) _all) level(95) post  
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}       963
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:age male education3 mig_backg pol_interest pol_left_right football_consumption football_reports born_gdr world_regions_russia}{p_end}
{p2colreset}{...}

{res}{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34} Delta-method
{col 22}{c |}      dy/dx{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 17}age {c |}{col 22}{res}{space 2}-.0065178{col 34}{space 2} .0014855{col 45}{space 1}   -4.39{col 54}{space 3}0.000{col 62}{space 4} -.009433{col 75}{space 3}-.0036025
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.0612556{col 34}{space 2} .0446423{col 45}{space 1}   -1.37{col 54}{space 3}0.170{col 62}{space 4}-.1488643{col 75}{space 3} .0263531
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}-.0860439{col 34}{space 2} .0291443{col 45}{space 1}   -2.95{col 54}{space 3}0.003{col 62}{space 4}-.1432385{col 75}{space 3}-.0288494
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .2112189{col 34}{space 2} .0699631{col 45}{space 1}    3.02{col 54}{space 3}0.003{col 62}{space 4} .0739192{col 75}{space 3} .3485185
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0995357{col 34}{space 2} .0260654{col 45}{space 1}    3.82{col 54}{space 3}0.000{col 62}{space 4} .0483835{col 75}{space 3} .1506879
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2} .0166603{col 34}{space 2} .0115993{col 45}{space 1}    1.44{col 54}{space 3}0.151{col 62}{space 4}-.0061028{col 75}{space 3} .0394234
{txt}football_consumption {c |}{col 22}{res}{space 2} .2540598{col 34}{space 2} .0187095{col 45}{space 1}   13.58{col 54}{space 3}0.000{col 62}{space 4} .2173433{col 75}{space 3} .2907763
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}-.0363406{col 34}{space 2} .0263167{col 45}{space 1}   -1.38{col 54}{space 3}0.168{col 62}{space 4}-.0879861{col 75}{space 3} .0153049
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .1132042{col 34}{space 2} .0566183{col 45}{space 1}    2.00{col 54}{space 3}0.046{col 62}{space 4}  .002093{col 75}{space 3} .2243153
{txt}world_regions_russia {c |}{col 22}{res}{space 2}  .035695{col 34}{space 2} .0268041{col 45}{space 1}    1.33{col 54}{space 3}0.183{col 62}{space 4}-.0169068{col 75}{space 3} .0882969
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         parmest, saving("$path\result_fig_A_5_2_1_95CI.dta", replace) idstr(model_1_1_1) format(estimate min95 max95)   
{txt}file C:\Users\pxq521\Desktop\Glaessel_Scharpf_Edwards_Sportswashing_JoP_Replication\result_fig_A_5_2_1_95CI.dta saved

{com}.         
.         *Model 2  
.         reg football_opening_cat $controls_1 if wave==1, robust

{txt}Linear regression                               Number of obs     = {res}       963
                                                {txt}F(10, 952)        =  {res}    22.07
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.2070
                                                {txt}Root MSE          =    {res} .57523

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}football_opening_cat{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 17}age {c |}{col 22}{res}{space 2}-.0006984{col 34}{space 2} .0013447{col 45}{space 1}   -0.52{col 54}{space 3}0.604{col 62}{space 4}-.0033373{col 75}{space 3} .0019404
{txt}{space 16}male {c |}{col 22}{res}{space 2} .0318013{col 34}{space 2} .0384946{col 45}{space 1}    0.83{col 54}{space 3}0.409{col 62}{space 4}-.0437428{col 75}{space 3} .1073453
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} .0379145{col 34}{space 2} .0242776{col 45}{space 1}    1.56{col 54}{space 3}0.119{col 62}{space 4}-.0097292{col 75}{space 3} .0855583
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .0917703{col 34}{space 2} .0566581{col 45}{space 1}    1.62{col 54}{space 3}0.106{col 62}{space 4}-.0194189{col 75}{space 3} .2029594
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0816366{col 34}{space 2} .0242499{col 45}{space 1}    3.37{col 54}{space 3}0.001{col 62}{space 4} .0340472{col 75}{space 3} .1292261
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.0163813{col 34}{space 2} .0116131{col 45}{space 1}   -1.41{col 54}{space 3}0.159{col 62}{space 4}-.0391715{col 75}{space 3} .0064089
{txt}football_consumption {c |}{col 22}{res}{space 2}  .197678{col 34}{space 2} .0177935{col 45}{space 1}   11.11{col 54}{space 3}0.000{col 62}{space 4} .1627591{col 75}{space 3}  .232597
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2} -.036321{col 34}{space 2}  .021288{col 45}{space 1}   -1.71{col 54}{space 3}0.088{col 62}{space 4}-.0780978{col 75}{space 3} .0054558
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .0907455{col 34}{space 2} .0532144{col 45}{space 1}    1.71{col 54}{space 3}0.088{col 62}{space 4}-.0136856{col 75}{space 3} .1951767
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .0739174{col 34}{space 2} .0235685{col 45}{space 1}    3.14{col 54}{space 3}0.002{col 62}{space 4} .0276652{col 75}{space 3} .1201696
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} .6066333{col 34}{space 2} .1217587{col 45}{space 1}    4.98{col 54}{space 3}0.000{col 62}{space 4} .3676869{col 75}{space 3} .8455798
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         eststo model_1_1_2
{txt}
{com}.         margins , dydx(*) at((asobserved) _all) level(95) post  
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}       963
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:age male education3 mig_backg pol_interest pol_left_right football_consumption football_reports born_gdr world_regions_russia}{p_end}
{p2colreset}{...}

{res}{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34} Delta-method
{col 22}{c |}      dy/dx{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 17}age {c |}{col 22}{res}{space 2}-.0006984{col 34}{space 2} .0013447{col 45}{space 1}   -0.52{col 54}{space 3}0.604{col 62}{space 4}-.0033373{col 75}{space 3} .0019404
{txt}{space 16}male {c |}{col 22}{res}{space 2} .0318013{col 34}{space 2} .0384946{col 45}{space 1}    0.83{col 54}{space 3}0.409{col 62}{space 4}-.0437428{col 75}{space 3} .1073453
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} .0379145{col 34}{space 2} .0242776{col 45}{space 1}    1.56{col 54}{space 3}0.119{col 62}{space 4}-.0097292{col 75}{space 3} .0855583
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .0917703{col 34}{space 2} .0566581{col 45}{space 1}    1.62{col 54}{space 3}0.106{col 62}{space 4}-.0194189{col 75}{space 3} .2029594
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0816366{col 34}{space 2} .0242499{col 45}{space 1}    3.37{col 54}{space 3}0.001{col 62}{space 4} .0340472{col 75}{space 3} .1292261
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.0163813{col 34}{space 2} .0116131{col 45}{space 1}   -1.41{col 54}{space 3}0.159{col 62}{space 4}-.0391715{col 75}{space 3} .0064089
{txt}football_consumption {c |}{col 22}{res}{space 2}  .197678{col 34}{space 2} .0177935{col 45}{space 1}   11.11{col 54}{space 3}0.000{col 62}{space 4} .1627591{col 75}{space 3}  .232597
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2} -.036321{col 34}{space 2}  .021288{col 45}{space 1}   -1.71{col 54}{space 3}0.088{col 62}{space 4}-.0780978{col 75}{space 3} .0054558
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .0907455{col 34}{space 2} .0532144{col 45}{space 1}    1.71{col 54}{space 3}0.088{col 62}{space 4}-.0136856{col 75}{space 3} .1951767
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .0739174{col 34}{space 2} .0235685{col 45}{space 1}    3.14{col 54}{space 3}0.002{col 62}{space 4} .0276652{col 75}{space 3} .1201696
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         parmest, saving("$path\result_fig_A_5_2_2_95CI.dta", replace) idstr(model_1_1_2) format(estimate min95 max95)           
{txt}file C:\Users\pxq521\Desktop\Glaessel_Scharpf_Edwards_Sportswashing_JoP_Replication\result_fig_A_5_2_2_95CI.dta saved

{com}.         
.         *Loading data
.         use "$path\result_fig_A_5_2_1_95CI.dta", clear          
{txt}
{com}.         append using "$path\result_fig_A_5_2_2_95CI.dta"
{txt}
{com}.                 
.         *Extracting model type
.         gen type=regexs(0)      if regexm(idstr,"[0-9]$")
{txt}
{com}.         
.         *Destringing variables
.         destring type, replace
{txt}type: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         
.         *Generating y-axis variable
.         gen dv=.        
{txt}(20 missing values generated)

{com}.         replace dv=1 if parm=="world_regions_russia"
{txt}(2 real changes made)

{com}.         replace dv=2 if parm=="pol_left_right"
{txt}(2 real changes made)

{com}.         replace dv=3 if parm=="pol_interest"
{txt}(2 real changes made)

{com}.         replace dv=4 if parm=="education3"
{txt}(2 real changes made)

{com}.         replace dv=5 if parm=="age"
{txt}(2 real changes made)

{com}.         replace dv=6 if parm=="male"
{txt}(2 real changes made)

{com}.         replace dv=7 if parm=="mig_backg"
{txt}(2 real changes made)

{com}.         replace dv=8 if parm=="born_gdr"
{txt}(2 real changes made)

{com}.         replace dv=9 if parm=="football_reports"        
{txt}(2 real changes made)

{com}.         replace dv=10 if parm=="football_consumption"   
{txt}(2 real changes made)

{com}.         
.         sort dv type
{txt}
{com}.         gen yaxis=dv
{txt}
{com}.         replace yaxis=yaxis+.2 if type==1
{txt}(10 real changes made)

{com}.         replace yaxis=yaxis-.2 if type==2
{txt}(10 real changes made)

{com}.         
.         *Graph
.         #delimit ;
{txt}delimiter now ;
{com}.         twoway (rspike min95 max95 yaxis if type==1 & (dv==10 | dv==7 | dv==4 | dv==3), horizontal lcolor(black))
>                    (rspike min95 max95 yaxis if type==2 & (dv==10 | dv==3 | dv==1), horizontal lcolor(black))
>                    (rspike min95 max95 yaxis if type==1 & (dv==9 | dv==8 | dv==6 | dv==5 | dv==2 | dv==1), horizontal lcolor(gs10))
>                    (rspike min95 max95 yaxis if type==2 & (dv==9 | dv==8 | dv==7 | dv==6 | dv==5 | dv==4 | dv==2), horizontal lcolor(gs10))                
>                    (scatter yaxis estimate if type==1 & (dv==10 | dv==7 | dv==4 | dv==3), mcolor(black) )  
>                    (scatter yaxis estimate if type==2 & (dv==10 | dv==3 | dv==1), mfcolor(white) mlcolor(black) msize(*1.1))
>                    (scatter yaxis estimate if type==1 & (dv==9 | dv==8 | dv==6 | dv==5 | dv==2 | dv==1), mcolor(gs10))
>                    (scatter yaxis estimate if type==2 & (dv==9 | dv==8 | dv==7 | dv==6 | dv==5 | dv==4 | dv==2), mfcolor(white) mlcolor(gs10) msize(*1.1))                         
>                    , 
>                         xline(0, lpattern(shortdash) lcolor(black) lwidth(*0.75)) 
>                         ysize(1)
>                         xsize(1.2)                      
>                         yscale(range(.75 10.25) noextend titlegap(*+5))
>                         xscale(range(-.35 .35) noextend titlegap(*+7))
>                         ylabel(
>                         10 "Football interest"
>                         9 "Critical reports"
>                         8 "Born in GDR"
>                         7 "Migration background"
>                         6 "Male"
>                         5 "Age"
>                         4 "Education"
>                         3 "Political interest"
>                         2 "Conservatism"
>                         1 "Russia affinity"
>                         , valuelabel angle(horizontal) labsize(*.9) glwidth(*0.75) glcolor(gs15) 
>                         )       
>                         xlabel(-.3(0.1).3, labsize(*.9))
>                         ytitle("")
>                         xtitle("Average marginal effect", size(*.9))
>                         graphregion(color(white) lcolor(white) lalign(outside))
>                         legend(         
>                                          position(6)
>                                          bmargin(0 0 0 2)
>                                          //ring(5)
>                                          row(2)
>                                          order(5 "Planned to watch (Wave 1)" 6 "Reportedly watched (Wave 2)" )
>                                          size(*.8) keygap(*0.75) symxsize(*0.5) symysize(*0.5)           
>                         )
>                    ;
{res}{txt}
{com}.         #delimit cr     
{txt}delimiter now cr
{com}.         graph export "$path\figure_A_5_2.pdf", as(pdf) replace  
{txt}(file C:\Users\pxq521\Desktop\Glaessel_Scharpf_Edwards_Sportswashing_JoP_Replication\figure_A_5_2.pdf written in PDF format)

{com}.         
.         *Restoring data
.         restore
{txt}
{com}.         
.         
. ********************************************************************************
. *
. * Robustness tests
. *
. ********************************************************************************        
.         
.         ****************************************************************************
.         *Variables for robustness checks
.         ****************************************************************************    
.         
.         *Descriptives on survey
.         tab wave

  {txt}World Cup {c |}
      start {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      1,006       50.10       50.10
{txt}          1 {c |}{res}      1,002       49.90      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      2,008      100.00
{txt}
{com}.     sum duration_min,d

             {txt}Survey completion time (in minutes)
{hline 61}
      Percentiles      Smallest
 1%    {res} 1.466667       .7666667
{txt} 5%    {res} 2.133333           1.05
{txt}10%    {res}      2.8       1.083333       {txt}Obs         {res}      2,008
{txt}25%    {res} 3.883333       1.183333       {txt}Sum of Wgt. {res}      2,008

{txt}50%    {res} 5.266667                      {txt}Mean          {res} 9.329822
                        {txt}Largest       Std. Dev.     {res} 44.84356
{txt}75%    {res}      7.3       190.5167
{txt}90%    {res} 11.16667         202.45       {txt}Variance      {res} 2010.945
{txt}95%    {res}    19.85       217.6333       {txt}Skewness      {res} 36.98029
{txt}99%    {res} 89.23333       1888.067       {txt}Kurtosis      {res} 1536.919
{txt}
{com}.         bys wave: sum duration_min, d

{txt}{hline}
-> wave = 0

             Survey completion time (in minutes)
{hline 61}
      Percentiles      Smallest
 1%    {res} 1.483333       1.183333
{txt} 5%    {res}      2.2            1.2
{txt}10%    {res} 2.716667       1.216667       {txt}Obs         {res}      1,006
{txt}25%    {res} 3.816667       1.233333       {txt}Sum of Wgt. {res}      1,006

{txt}50%    {res} 5.233333                      {txt}Mean          {res} 10.44786
                        {txt}Largest       Std. Dev.     {res} 61.73454
{txt}75%    {res} 7.083333       181.3833
{txt}90%    {res} 10.96667         202.45       {txt}Variance      {res} 3811.153
{txt}95%    {res} 19.63333       217.6333       {txt}Skewness      {res}   28.163
{txt}99%    {res}    102.9       1888.067       {txt}Kurtosis      {res} 852.6766

{txt}{hline}
-> wave = 1

             Survey completion time (in minutes)
{hline 61}
      Percentiles      Smallest
 1%    {res}     1.45       .7666667
{txt} 5%    {res}      2.1           1.05
{txt}10%    {res}     2.85       1.083333       {txt}Obs         {res}      1,002
{txt}25%    {res}        4       1.266667       {txt}Sum of Wgt. {res}      1,002

{txt}50%    {res}    5.325                      {txt}Mean          {res} 8.207319
                        {txt}Largest       Std. Dev.     {res}   14.249
{txt}75%    {res} 7.616667         153.85
{txt}90%    {res} 11.43333       155.2833       {txt}Variance      {res} 203.0341
{txt}95%    {res} 20.13333       160.8833       {txt}Skewness      {res} 7.987912
{txt}99%    {res} 68.98333       190.5167       {txt}Kurtosis      {res} 80.16832

{txt}
{com}.         
.         *Identifying super fast (min<2, top 5%) and slow respondents (min>20, bottom 5%)
.         gen resond_slowfast=1 if duration_min<2 | duration_min>20 
{txt}(1,829 missing values generated)

{com}.         
.         *Identifying respondents completing survey during German match
.         gen respond_germmatch=1 if end_german > tc(23Nov2022 14:00:00)  
{txt}(1,989 missing values generated)

{com}.         
.         *Number of respondents dropped from analysis
.         count if resond_slowfast==1             // 179
  {res}179
{txt}
{com}.         count if respond_germmatch==1   // 19   
  {res}19
{txt}
{com}.                 
.         
.         
.         ****************************************************************************
.         *Table A.6.1. Watching the German team play
.         ****************************************************************************            
. 
.         *Control variables
.         #delimit ;
{txt}delimiter now ;
{com}.         global controls_1 = "
>                                                  age
>                                                  male 
>                                                  education3 
>                                                  mig_backg 
>                                                  pol_interest 
>                                                  pol_left_right 
>                                                  football_consumption   
>                                                  football_reports
>                                                  born_gdr
>                                                  world_regions_russia
>                                                  "
>         ;
{txt}
{com}.         #delimit cr             
{txt}delimiter now cr
{com}.                 
. 
.         *Model 1
.         reg football_german $controls_1 if wave==0, robust

{txt}Linear regression                               Number of obs     = {res}       964
                                                {txt}F(10, 953)        =  {res}    69.66
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.3811
                                                {txt}Root MSE          =    {res} .85571

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}     football_german{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 17}age {c |}{col 22}{res}{space 2}-.0019754{col 34}{space 2} .0020623{col 45}{space 1}   -0.96{col 54}{space 3}0.338{col 62}{space 4}-.0060226{col 75}{space 3} .0020718
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.1020923{col 34}{space 2} .0573413{col 45}{space 1}   -1.78{col 54}{space 3}0.075{col 62}{space 4} -.214622{col 75}{space 3} .0104374
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}-.0647064{col 34}{space 2} .0379747{col 45}{space 1}   -1.70{col 54}{space 3}0.089{col 62}{space 4}  -.13923{col 75}{space 3} .0098172
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .1246797{col 34}{space 2} .0957424{col 45}{space 1}    1.30{col 54}{space 3}0.193{col 62}{space 4}-.0632105{col 75}{space 3} .3125699
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0860642{col 34}{space 2} .0362361{col 45}{space 1}    2.38{col 54}{space 3}0.018{col 62}{space 4} .0149525{col 75}{space 3} .1571759
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2} .0170299{col 34}{space 2} .0148461{col 45}{space 1}    1.15{col 54}{space 3}0.252{col 62}{space 4}-.0121049{col 75}{space 3} .0461648
{txt}football_consumption {c |}{col 22}{res}{space 2} .5299353{col 34}{space 2} .0235035{col 45}{space 1}   22.55{col 54}{space 3}0.000{col 62}{space 4} .4838108{col 75}{space 3} .5760599
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}-.0376559{col 34}{space 2} .0369728{col 45}{space 1}   -1.02{col 54}{space 3}0.309{col 62}{space 4}-.1102134{col 75}{space 3} .0349015
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .1256684{col 34}{space 2} .0650416{col 45}{space 1}    1.93{col 54}{space 3}0.054{col 62}{space 4} -.001973{col 75}{space 3} .2533098
{txt}world_regions_russia {c |}{col 22}{res}{space 2}-.0099344{col 34}{space 2} .0347617{col 45}{space 1}   -0.29{col 54}{space 3}0.775{col 62}{space 4}-.0781527{col 75}{space 3} .0582838
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} .9580236{col 34}{space 2} .1970636{col 45}{space 1}    4.86{col 54}{space 3}0.000{col 62}{space 4} .5712948{col 75}{space 3} 1.344752
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                                 
.         *Model 2
.         reg football_german $controls_1 if wave==1, robust

{txt}Linear regression                               Number of obs     = {res}       963
                                                {txt}F(10, 952)        =  {res}    53.24
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.3559
                                                {txt}Root MSE          =    {res} .86845

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}     football_german{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 17}age {c |}{col 22}{res}{space 2}  .002555{col 34}{space 2} .0019714{col 45}{space 1}    1.30{col 54}{space 3}0.195{col 62}{space 4}-.0013138{col 75}{space 3} .0064237
{txt}{space 16}male {c |}{col 22}{res}{space 2}  .053718{col 34}{space 2} .0586068{col 45}{space 1}    0.92{col 54}{space 3}0.360{col 62}{space 4}-.0612954{col 75}{space 3} .1687315
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} .0198545{col 34}{space 2} .0365147{col 45}{space 1}    0.54{col 54}{space 3}0.587{col 62}{space 4}-.0518041{col 75}{space 3} .0915132
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2}  .074399{col 34}{space 2} .0806036{col 45}{space 1}    0.92{col 54}{space 3}0.356{col 62}{space 4}-.0837823{col 75}{space 3} .2325803
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0157277{col 34}{space 2} .0383945{col 45}{space 1}    0.41{col 54}{space 3}0.682{col 62}{space 4}  -.05962{col 75}{space 3} .0910754
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}  .028376{col 34}{space 2} .0166829{col 45}{space 1}    1.70{col 54}{space 3}0.089{col 62}{space 4}-.0043635{col 75}{space 3} .0611156
{txt}football_consumption {c |}{col 22}{res}{space 2} .5003777{col 34}{space 2} .0243712{col 45}{space 1}   20.53{col 54}{space 3}0.000{col 62}{space 4} .4525502{col 75}{space 3} .5482052
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}  .004066{col 34}{space 2} .0321597{col 45}{space 1}    0.13{col 54}{space 3}0.899{col 62}{space 4}-.0590462{col 75}{space 3} .0671781
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .0256295{col 34}{space 2}  .076181{col 45}{space 1}    0.34{col 54}{space 3}0.737{col 62}{space 4}-.1238727{col 75}{space 3} .1751317
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .0630419{col 34}{space 2} .0341951{col 45}{space 1}    1.84{col 54}{space 3}0.066{col 62}{space 4}-.0040645{col 75}{space 3} .1301483
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}  .453869{col 34}{space 2} .1977684{col 45}{space 1}    2.29{col 54}{space 3}0.022{col 62}{space 4} .0657567{col 75}{space 3} .8419812
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         
.         
.         ****************************************************************************
.         *Table A.6.2. World Cup start and change of opinions about Qatar with control for opening ceremony
.         ****************************************************************************            
.         
.         #delimit ;
{txt}delimiter now ;
{com}.         global controls_2_ext = "
>                                                  age
>                                                  male 
>                                                  education3 
>                                                  mig_backg 
>                                                  pol_interest 
>                                                  pol_left_right 
>                                                  football_consumption 
>                                                  football_reports
>                                                  born_gdr
>                                                  world_regions_russia
>                                                  football_opening_cat
>                                                  "
>         ;
{txt}
{com}.         #delimit cr     
{txt}delimiter now cr
{com}.                 
.         *Dependent variables
.         #delimit ;
{txt}delimiter now ;
{com}.         tokenize                           "
>                                                    qatar_statements_1_influence 
>                                                    qatar_statements_1_aggro
>                                                    qatar_statements_1_tech
>                                                    qatar_statements_1_orga 
>                                                    qatar_statements_1_travel
>                                                    qat_state_2_worker
>                                                    qat_state_2_women
>                                                    qat_state_2_lgbt                               
>                                                    ";
{txt}
{com}.         #delimit cr             
{txt}delimiter now cr
{com}.         
.         
.         *Models 1-8
.         forval j=1/8  {c -(} 
{txt}  2{com}.         tab ``j''
{txt}  3{com}. 
.         reg ``j'' wave $controls_2_ext , robust
{txt}  4{com}. 
.         {c )-}               

           {txt}Qatar: {c |}
  Internationally {c |}
      influential {c |}      Freq.     Percent        Cum.
{hline 18}{c +}{hline 35}
strongly disagree {c |}{res}        163        8.15        8.15
{txt}         disagree {c |}{res}        385       19.26       27.41
{txt}      neither nor {c |}{res}        766       38.32       65.73
{txt}            agree {c |}{res}        532       26.61       92.35
{txt}    stronly agree {c |}{res}        153        7.65      100.00
{txt}{hline 18}{c +}{hline 35}
            Total {c |}{res}      1,999      100.00

{txt}Linear regression                               Number of obs     = {res}     1,921
                                                {txt}F(12, 1908)       =  {res}     8.06
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0489
                                                {txt}Root MSE          =    {res}   1.02

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}qatar_statements_1~e{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.0313503{col 34}{space 2} .0469377{col 45}{space 1}   -0.67{col 54}{space 3}0.504{col 62}{space 4}-.1234049{col 75}{space 3} .0607044
{txt}{space 17}age {c |}{col 22}{res}{space 2} .0025111{col 34}{space 2} .0017495{col 45}{space 1}    1.44{col 54}{space 3}0.151{col 62}{space 4}-.0009201{col 75}{space 3} .0059422
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.0058411{col 34}{space 2} .0497099{col 45}{space 1}   -0.12{col 54}{space 3}0.906{col 62}{space 4}-.1033325{col 75}{space 3} .0916504
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} .0436268{col 34}{space 2} .0315686{col 45}{space 1}    1.38{col 54}{space 3}0.167{col 62}{space 4}-.0182858{col 75}{space 3} .1055393
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2}  .088887{col 34}{space 2} .0732058{col 45}{space 1}    1.21{col 54}{space 3}0.225{col 62}{space 4}-.0546849{col 75}{space 3} .2324588
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .1041474{col 34}{space 2} .0319774{col 45}{space 1}    3.26{col 54}{space 3}0.001{col 62}{space 4} .0414331{col 75}{space 3} .1668616
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.0086661{col 34}{space 2} .0132526{col 45}{space 1}   -0.65{col 54}{space 3}0.513{col 62}{space 4}-.0346573{col 75}{space 3} .0173251
{txt}football_consumption {c |}{col 22}{res}{space 2} .0154847{col 34}{space 2} .0236555{col 45}{space 1}    0.65{col 54}{space 3}0.513{col 62}{space 4}-.0309087{col 75}{space 3} .0618781
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2} .1038097{col 34}{space 2} .0292041{col 45}{space 1}    3.55{col 54}{space 3}0.000{col 62}{space 4} .0465344{col 75}{space 3} .1610849
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .0993562{col 34}{space 2} .0616253{col 45}{space 1}    1.61{col 54}{space 3}0.107{col 62}{space 4}-.0215039{col 75}{space 3} .2202163
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .1132859{col 34}{space 2} .0284782{col 45}{space 1}    3.98{col 54}{space 3}0.000{col 62}{space 4} .0574342{col 75}{space 3} .1691375
{txt}football_opening_cat {c |}{col 22}{res}{space 2} .0941281{col 34}{space 2}  .038555{col 45}{space 1}    2.44{col 54}{space 3}0.015{col 62}{space 4} .0185138{col 75}{space 3} .1697425
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 1.988311{col 34}{space 2}  .168831{col 45}{space 1}   11.78{col 54}{space 3}0.000{col 62}{space 4} 1.657198{col 75}{space 3} 2.319424
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Qatar: Aggressive {c |}
          country {c |}      Freq.     Percent        Cum.
{hline 18}{c +}{hline 35}
strongly disagree {c |}{res}        121        6.05        6.05
{txt}         disagree {c |}{res}        296       14.81       20.86
{txt}      neither nor {c |}{res}        698       34.92       55.78
{txt}            agree {c |}{res}        607       30.37       86.14
{txt}    stronly agree {c |}{res}        277       13.86      100.00
{txt}{hline 18}{c +}{hline 35}
            Total {c |}{res}      1,999      100.00

{txt}Linear regression                               Number of obs     = {res}     1,921
                                                {txt}F(12, 1908)       =  {res}     6.56
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0455
                                                {txt}Root MSE          =    {res} 1.0473

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}qatar_statements_1~o{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.0845457{col 34}{space 2} .0481999{col 45}{space 1}   -1.75{col 54}{space 3}0.080{col 62}{space 4}-.1790758{col 75}{space 3} .0099844
{txt}{space 17}age {c |}{col 22}{res}{space 2}-.0024157{col 34}{space 2}  .001792{col 45}{space 1}   -1.35{col 54}{space 3}0.178{col 62}{space 4}-.0059303{col 75}{space 3} .0010989
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.1659872{col 34}{space 2} .0514003{col 45}{space 1}   -3.23{col 54}{space 3}0.001{col 62}{space 4}-.2667938{col 75}{space 3}-.0651806
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}-.0588663{col 34}{space 2} .0325348{col 45}{space 1}   -1.81{col 54}{space 3}0.071{col 62}{space 4}-.1226738{col 75}{space 3} .0049412
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .0136294{col 34}{space 2} .0722666{col 45}{space 1}    0.19{col 54}{space 3}0.850{col 62}{space 4}-.1281004{col 75}{space 3} .1553592
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0100894{col 34}{space 2} .0322147{col 45}{space 1}    0.31{col 54}{space 3}0.754{col 62}{space 4}-.0530902{col 75}{space 3} .0732691
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.0145399{col 34}{space 2} .0142541{col 45}{space 1}   -1.02{col 54}{space 3}0.308{col 62}{space 4}-.0424952{col 75}{space 3} .0134154
{txt}football_consumption {c |}{col 22}{res}{space 2}-.0216064{col 34}{space 2} .0242917{col 45}{space 1}   -0.89{col 54}{space 3}0.374{col 62}{space 4}-.0692475{col 75}{space 3} .0260347
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}  .127015{col 34}{space 2} .0299476{col 45}{space 1}    4.24{col 54}{space 3}0.000{col 62}{space 4} .0682816{col 75}{space 3} .1857485
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2}-.0959866{col 34}{space 2} .0662703{col 45}{space 1}   -1.45{col 54}{space 3}0.148{col 62}{space 4}-.2259565{col 75}{space 3} .0339833
{txt}world_regions_russia {c |}{col 22}{res}{space 2}-.1060404{col 34}{space 2} .0313535{col 45}{space 1}   -3.38{col 54}{space 3}0.001{col 62}{space 4}-.1675312{col 75}{space 3}-.0445496
{txt}football_opening_cat {c |}{col 22}{res}{space 2} -.167249{col 34}{space 2} .0404684{col 45}{space 1}   -4.13{col 54}{space 3}0.000{col 62}{space 4} -.246616{col 75}{space 3}-.0878819
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 3.913817{col 34}{space 2} .1794901{col 45}{space 1}   21.81{col 54}{space 3}0.000{col 62}{space 4}   3.5618{col 75}{space 3} 4.265835
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
           {txt}Qatar: {c |}
  Technologically {c |}
          leading {c |}      Freq.     Percent        Cum.
{hline 18}{c +}{hline 35}
strongly disagree {c |}{res}        289       14.46       14.46
{txt}         disagree {c |}{res}        561       28.06       42.52
{txt}      neither nor {c |}{res}        807       40.37       82.89
{txt}            agree {c |}{res}        270       13.51       96.40
{txt}    stronly agree {c |}{res}         72        3.60      100.00
{txt}{hline 18}{c +}{hline 35}
            Total {c |}{res}      1,999      100.00

{txt}Linear regression                               Number of obs     = {res}     1,920
                                                {txt}F(12, 1907)       =  {res}    14.06
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0852
                                                {txt}Root MSE          =    {res} .95834

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}qatar_statements_1~h{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.0455042{col 34}{space 2} .0442589{col 45}{space 1}   -1.03{col 54}{space 3}0.304{col 62}{space 4}-.1323052{col 75}{space 3} .0412968
{txt}{space 17}age {c |}{col 22}{res}{space 2} .0004129{col 34}{space 2} .0016276{col 45}{space 1}    0.25{col 54}{space 3}0.800{col 62}{space 4}-.0027791{col 75}{space 3} .0036049
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.2043283{col 34}{space 2} .0463891{col 45}{space 1}   -4.40{col 54}{space 3}0.000{col 62}{space 4} -.295307{col 75}{space 3}-.1133497
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}-.0149427{col 34}{space 2} .0298821{col 45}{space 1}   -0.50{col 54}{space 3}0.617{col 62}{space 4}-.0735478{col 75}{space 3} .0436623
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2}-.0138436{col 34}{space 2} .0694294{col 45}{space 1}   -0.20{col 54}{space 3}0.842{col 62}{space 4}-.1500093{col 75}{space 3}  .122322
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0564313{col 34}{space 2} .0288575{col 45}{space 1}    1.96{col 54}{space 3}0.051{col 62}{space 4}-.0001642{col 75}{space 3} .1130269
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.0115523{col 34}{space 2} .0132229{col 45}{space 1}   -0.87{col 54}{space 3}0.382{col 62}{space 4}-.0374852{col 75}{space 3} .0143806
{txt}football_consumption {c |}{col 22}{res}{space 2}-.0096325{col 34}{space 2}  .021136{col 45}{space 1}   -0.46{col 54}{space 3}0.649{col 62}{space 4}-.0510847{col 75}{space 3} .0318197
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2} -.002714{col 34}{space 2} .0273227{col 45}{space 1}   -0.10{col 54}{space 3}0.921{col 62}{space 4}-.0562996{col 75}{space 3} .0508715
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .1782802{col 34}{space 2} .0584487{col 45}{space 1}    3.05{col 54}{space 3}0.002{col 62}{space 4} .0636501{col 75}{space 3} .2929103
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .1620584{col 34}{space 2} .0280292{col 45}{space 1}    5.78{col 54}{space 3}0.000{col 62}{space 4} .1070874{col 75}{space 3} .2170295
{txt}football_opening_cat {c |}{col 22}{res}{space 2}  .295428{col 34}{space 2} .0368313{col 45}{space 1}    8.02{col 54}{space 3}0.000{col 62}{space 4} .2231942{col 75}{space 3} .3676618
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 1.973041{col 34}{space 2}  .161455{col 45}{space 1}   12.22{col 54}{space 3}0.000{col 62}{space 4} 1.656394{col 75}{space 3} 2.289688
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
      {txt}Qatar: Well {c |}
        organized {c |}      Freq.     Percent        Cum.
{hline 18}{c +}{hline 35}
strongly disagree {c |}{res}        257       12.83       12.83
{txt}         disagree {c |}{res}        386       19.27       32.10
{txt}      neither nor {c |}{res}        806       40.24       72.34
{txt}            agree {c |}{res}        449       22.42       94.76
{txt}    stronly agree {c |}{res}        105        5.24      100.00
{txt}{hline 18}{c +}{hline 35}
            Total {c |}{res}      2,003      100.00

{txt}Linear regression                               Number of obs     = {res}     1,924
                                                {txt}F(12, 1911)       =  {res}    20.06
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1092
                                                {txt}Root MSE          =    {res} 1.0024

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}qatar_statements_1~a{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2} .0291231{col 34}{space 2} .0460787{col 45}{space 1}    0.63{col 54}{space 3}0.527{col 62}{space 4}-.0612468{col 75}{space 3}  .119493
{txt}{space 17}age {c |}{col 22}{res}{space 2} .0083709{col 34}{space 2} .0016689{col 45}{space 1}    5.02{col 54}{space 3}0.000{col 62}{space 4} .0050978{col 75}{space 3}  .011644
{txt}{space 16}male {c |}{col 22}{res}{space 2} .1931851{col 34}{space 2} .0494834{col 45}{space 1}    3.90{col 54}{space 3}0.000{col 62}{space 4} .0961379{col 75}{space 3} .2902323
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} .1209039{col 34}{space 2} .0315684{col 45}{space 1}    3.83{col 54}{space 3}0.000{col 62}{space 4} .0589917{col 75}{space 3} .1828161
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .0441843{col 34}{space 2} .0702722{col 45}{space 1}    0.63{col 54}{space 3}0.530{col 62}{space 4}-.0936339{col 75}{space 3} .1820025
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .1632489{col 34}{space 2} .0310696{col 45}{space 1}    5.25{col 54}{space 3}0.000{col 62}{space 4} .1023151{col 75}{space 3} .2241827
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2} .0133278{col 34}{space 2}  .013549{col 45}{space 1}    0.98{col 54}{space 3}0.325{col 62}{space 4}-.0132447{col 75}{space 3} .0399003
{txt}football_consumption {c |}{col 22}{res}{space 2}-.0434822{col 34}{space 2} .0228016{col 45}{space 1}   -1.91{col 54}{space 3}0.057{col 62}{space 4}-.0882009{col 75}{space 3} .0012364
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2} .0204878{col 34}{space 2} .0285984{col 45}{space 1}    0.72{col 54}{space 3}0.474{col 62}{space 4}-.0355996{col 75}{space 3} .0765752
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .1168084{col 34}{space 2} .0593411{col 45}{space 1}    1.97{col 54}{space 3}0.049{col 62}{space 4} .0004283{col 75}{space 3} .2331885
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .1905582{col 34}{space 2} .0278116{col 45}{space 1}    6.85{col 54}{space 3}0.000{col 62}{space 4} .1360139{col 75}{space 3} .2451025
{txt}football_opening_cat {c |}{col 22}{res}{space 2} .1903002{col 34}{space 2} .0369062{col 45}{space 1}    5.16{col 54}{space 3}0.000{col 62}{space 4} .1179196{col 75}{space 3} .2626808
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 1.032186{col 34}{space 2} .1655088{col 45}{space 1}    6.24{col 54}{space 3}0.000{col 62}{space 4} .7075888{col 75}{space 3} 1.356783
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Qatar: Attractive {c |}
           travel {c |}
      destination {c |}      Freq.     Percent        Cum.
{hline 18}{c +}{hline 35}
strongly disagree {c |}{res}        586       29.30       29.30
{txt}         disagree {c |}{res}        520       26.00       55.30
{txt}      neither nor {c |}{res}        582       29.10       84.40
{txt}            agree {c |}{res}        226       11.30       95.70
{txt}    stronly agree {c |}{res}         86        4.30      100.00
{txt}{hline 18}{c +}{hline 35}
            Total {c |}{res}      2,000      100.00

{txt}Linear regression                               Number of obs     = {res}     1,921
                                                {txt}F(12, 1908)       =  {res}    28.37
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1520
                                                {txt}Root MSE          =    {res} 1.0469

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}qatar_statements_1~l{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.0064704{col 34}{space 2} .0481402{col 45}{space 1}   -0.13{col 54}{space 3}0.893{col 62}{space 4}-.1008835{col 75}{space 3} .0879426
{txt}{space 17}age {c |}{col 22}{res}{space 2} .0026122{col 34}{space 2} .0017601{col 45}{space 1}    1.48{col 54}{space 3}0.138{col 62}{space 4}-.0008397{col 75}{space 3} .0060641
{txt}{space 16}male {c |}{col 22}{res}{space 2}  .116911{col 34}{space 2} .0508942{col 45}{space 1}    2.30{col 54}{space 3}0.022{col 62}{space 4} .0170969{col 75}{space 3}  .216725
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}-.0424286{col 34}{space 2} .0324273{col 45}{space 1}   -1.31{col 54}{space 3}0.191{col 62}{space 4}-.1060253{col 75}{space 3} .0211682
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2}  .049725{col 34}{space 2} .0754538{col 45}{space 1}    0.66{col 54}{space 3}0.510{col 62}{space 4}-.0982557{col 75}{space 3} .1977057
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0179722{col 34}{space 2} .0318428{col 45}{space 1}    0.56{col 54}{space 3}0.573{col 62}{space 4}-.0444782{col 75}{space 3} .0804226
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.0022057{col 34}{space 2} .0141877{col 45}{space 1}   -0.16{col 54}{space 3}0.876{col 62}{space 4}-.0300308{col 75}{space 3} .0256194
{txt}football_consumption {c |}{col 22}{res}{space 2} .0042721{col 34}{space 2} .0230998{col 45}{space 1}    0.18{col 54}{space 3}0.853{col 62}{space 4}-.0410315{col 75}{space 3} .0495756
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}-.1018186{col 34}{space 2} .0294822{col 45}{space 1}   -3.45{col 54}{space 3}0.001{col 62}{space 4}-.1596392{col 75}{space 3}-.0439979
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .1461441{col 34}{space 2} .0640768{col 45}{space 1}    2.28{col 54}{space 3}0.023{col 62}{space 4} .0204762{col 75}{space 3} .2718121
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .2293895{col 34}{space 2} .0309857{col 45}{space 1}    7.40{col 54}{space 3}0.000{col 62}{space 4}   .16862{col 75}{space 3}  .290159
{txt}football_opening_cat {c |}{col 22}{res}{space 2} .4853805{col 34}{space 2} .0395815{col 45}{space 1}   12.26{col 54}{space 3}0.000{col 62}{space 4}  .407753{col 75}{space 3} .5630081
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 1.328897{col 34}{space 2} .1737173{col 45}{space 1}    7.65{col 54}{space 3}0.000{col 62}{space 4} .9882014{col 75}{space 3} 1.669593
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
       {txt}Qatar: Bad {c |}
      country for {c |}
  migrant workers {c |}      Freq.     Percent        Cum.
{hline 18}{c +}{hline 35}
strongly disagree {c |}{res}         45        2.26        2.26
{txt}         disagree {c |}{res}         88        4.42        6.68
{txt}      neither nor {c |}{res}        462       23.19       29.87
{txt}            agree {c |}{res}        504       25.30       55.17
{txt}    stronly agree {c |}{res}        893       44.83      100.00
{txt}{hline 18}{c +}{hline 35}
            Total {c |}{res}      1,992      100.00

{txt}Linear regression                               Number of obs     = {res}     1,916
                                                {txt}F(12, 1903)       =  {res}    38.65
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1815
                                                {txt}Root MSE          =    {res} .92695

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}  qat_state_2_worker{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.0365536{col 34}{space 2} .0425098{col 45}{space 1}   -0.86{col 54}{space 3}0.390{col 62}{space 4}-.1199243{col 75}{space 3}  .046817
{txt}{space 17}age {c |}{col 22}{res}{space 2} .0100614{col 34}{space 2} .0015746{col 45}{space 1}    6.39{col 54}{space 3}0.000{col 62}{space 4} .0069734{col 75}{space 3} .0131494
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.0129866{col 34}{space 2}  .045432{col 45}{space 1}   -0.29{col 54}{space 3}0.775{col 62}{space 4}-.1020884{col 75}{space 3} .0761151
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} .0714157{col 34}{space 2} .0293159{col 45}{space 1}    2.44{col 54}{space 3}0.015{col 62}{space 4}  .013921{col 75}{space 3} .1289104
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .0209487{col 34}{space 2} .0664439{col 45}{space 1}    0.32{col 54}{space 3}0.753{col 62}{space 4}-.1093618{col 75}{space 3} .1512593
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2}  .119239{col 34}{space 2} .0290539{col 45}{space 1}    4.10{col 54}{space 3}0.000{col 62}{space 4} .0622582{col 75}{space 3} .1762198
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.0697954{col 34}{space 2} .0122031{col 45}{space 1}   -5.72{col 54}{space 3}0.000{col 62}{space 4}-.0937282{col 75}{space 3}-.0458626
{txt}football_consumption {c |}{col 22}{res}{space 2}-.0028322{col 34}{space 2} .0212759{col 45}{space 1}   -0.13{col 54}{space 3}0.894{col 62}{space 4}-.0445588{col 75}{space 3} .0388944
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2} .2193325{col 34}{space 2} .0268674{col 45}{space 1}    8.16{col 54}{space 3}0.000{col 62}{space 4} .1666397{col 75}{space 3} .2720252
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2}-.1450436{col 34}{space 2} .0592557{col 45}{space 1}   -2.45{col 54}{space 3}0.014{col 62}{space 4}-.2612566{col 75}{space 3}-.0288307
{txt}world_regions_russia {c |}{col 22}{res}{space 2}-.2101264{col 34}{space 2} .0275795{col 45}{space 1}   -7.62{col 54}{space 3}0.000{col 62}{space 4}-.2642156{col 75}{space 3}-.1560372
{txt}football_opening_cat {c |}{col 22}{res}{space 2}-.2336156{col 34}{space 2} .0359287{col 45}{space 1}   -6.50{col 54}{space 3}0.000{col 62}{space 4}-.3040793{col 75}{space 3}-.1631518
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 3.774096{col 34}{space 2} .1608989{col 45}{space 1}   23.46{col 54}{space 3}0.000{col 62}{space 4}  3.45854{col 75}{space 3} 4.089653
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
  {txt}Qatar: Treating {c |}
         women as {c |}
     second-class {c |}
         citizens {c |}      Freq.     Percent        Cum.
{hline 18}{c +}{hline 35}
strongly disagree {c |}{res}         49        2.45        2.45
{txt}         disagree {c |}{res}         94        4.71        7.16
{txt}      neither nor {c |}{res}        385       19.28       26.44
{txt}            agree {c |}{res}        635       31.80       58.24
{txt}    stronly agree {c |}{res}        834       41.76      100.00
{txt}{hline 18}{c +}{hline 35}
            Total {c |}{res}      1,997      100.00

{txt}Linear regression                               Number of obs     = {res}     1,918
                                                {txt}F(12, 1905)       =  {res}    24.38
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1413
                                                {txt}Root MSE          =    {res} .93052

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}   qat_state_2_women{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.1351669{col 34}{space 2} .0426396{col 45}{space 1}   -3.17{col 54}{space 3}0.002{col 62}{space 4}-.2187922{col 75}{space 3}-.0515417
{txt}{space 17}age {c |}{col 22}{res}{space 2} .0095675{col 34}{space 2} .0016257{col 45}{space 1}    5.89{col 54}{space 3}0.000{col 62}{space 4} .0063792{col 75}{space 3} .0127558
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.1304795{col 34}{space 2} .0454512{col 45}{space 1}   -2.87{col 54}{space 3}0.004{col 62}{space 4}-.2196189{col 75}{space 3}-.0413401
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} .0148667{col 34}{space 2} .0299416{col 45}{space 1}    0.50{col 54}{space 3}0.620{col 62}{space 4} -.043855{col 75}{space 3} .0735885
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .0309012{col 34}{space 2} .0638165{col 45}{space 1}    0.48{col 54}{space 3}0.628{col 62}{space 4}-.0942565{col 75}{space 3} .1560588
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2}  .031182{col 34}{space 2} .0298059{col 45}{space 1}    1.05{col 54}{space 3}0.296{col 62}{space 4}-.0272737{col 75}{space 3} .0896378
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.0384996{col 34}{space 2} .0130171{col 45}{space 1}   -2.96{col 54}{space 3}0.003{col 62}{space 4}-.0640288{col 75}{space 3}-.0129704
{txt}football_consumption {c |}{col 22}{res}{space 2}-.0259143{col 34}{space 2} .0213136{col 45}{space 1}   -1.22{col 54}{space 3}0.224{col 62}{space 4}-.0677149{col 75}{space 3} .0158862
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2} .1697738{col 34}{space 2} .0268126{col 45}{space 1}    6.33{col 54}{space 3}0.000{col 62}{space 4} .1171886{col 75}{space 3}  .222359
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2}-.0940276{col 34}{space 2} .0609567{col 45}{space 1}   -1.54{col 54}{space 3}0.123{col 62}{space 4}-.2135766{col 75}{space 3} .0255214
{txt}world_regions_russia {c |}{col 22}{res}{space 2}-.2045963{col 34}{space 2} .0276757{col 45}{space 1}   -7.39{col 54}{space 3}0.000{col 62}{space 4}-.2588742{col 75}{space 3}-.1503185
{txt}football_opening_cat {c |}{col 22}{res}{space 2}-.2400503{col 34}{space 2} .0376285{col 45}{space 1}   -6.38{col 54}{space 3}0.000{col 62}{space 4}-.3138478{col 75}{space 3}-.1662528
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 4.243291{col 34}{space 2} .1610748{col 45}{space 1}   26.34{col 54}{space 3}0.000{col 62}{space 4}  3.92739{col 75}{space 3} 4.559193
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
 {txt}Qatar: Dangerous {c |}
 country for gays {c |}
     and lesbians {c |}      Freq.     Percent        Cum.
{hline 18}{c +}{hline 35}
strongly disagree {c |}{res}         45        2.26        2.26
{txt}         disagree {c |}{res}         63        3.16        5.42
{txt}      neither nor {c |}{res}        278       13.95       19.37
{txt}            agree {c |}{res}        419       21.02       40.39
{txt}    stronly agree {c |}{res}      1,188       59.61      100.00
{txt}{hline 18}{c +}{hline 35}
            Total {c |}{res}      1,993      100.00

{txt}Linear regression                               Number of obs     = {res}     1,916
                                                {txt}F(12, 1903)       =  {res}    28.59
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1583
                                                {txt}Root MSE          =    {res} .89116

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}    qat_state_2_lgbt{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.0758337{col 34}{space 2} .0411847{col 45}{space 1}   -1.84{col 54}{space 3}0.066{col 62}{space 4}-.1566057{col 75}{space 3} .0049382
{txt}{space 17}age {c |}{col 22}{res}{space 2} .0114592{col 34}{space 2} .0015299{col 45}{space 1}    7.49{col 54}{space 3}0.000{col 62}{space 4} .0084588{col 75}{space 3} .0144596
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.1221408{col 34}{space 2} .0446678{col 45}{space 1}   -2.73{col 54}{space 3}0.006{col 62}{space 4}-.2097438{col 75}{space 3}-.0345378
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}  .065233{col 34}{space 2} .0303254{col 45}{space 1}    2.15{col 54}{space 3}0.032{col 62}{space 4} .0057586{col 75}{space 3} .1247074
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .0513679{col 34}{space 2} .0627324{col 45}{space 1}    0.82{col 54}{space 3}0.413{col 62}{space 4}-.0716636{col 75}{space 3} .1743994
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0490737{col 34}{space 2} .0284045{col 45}{space 1}    1.73{col 54}{space 3}0.084{col 62}{space 4}-.0066335{col 75}{space 3}  .104781
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2} -.029675{col 34}{space 2}  .012268{col 45}{space 1}   -2.42{col 54}{space 3}0.016{col 62}{space 4}-.0537352{col 75}{space 3}-.0056148
{txt}football_consumption {c |}{col 22}{res}{space 2} .0012145{col 34}{space 2} .0196013{col 45}{space 1}    0.06{col 54}{space 3}0.951{col 62}{space 4}-.0372278{col 75}{space 3} .0396568
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2} .2049704{col 34}{space 2} .0264595{col 45}{space 1}    7.75{col 54}{space 3}0.000{col 62}{space 4} .1530778{col 75}{space 3} .2568631
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2}-.1440588{col 34}{space 2} .0590367{col 45}{space 1}   -2.44{col 54}{space 3}0.015{col 62}{space 4}-.2598423{col 75}{space 3}-.0282754
{txt}world_regions_russia {c |}{col 22}{res}{space 2}-.1765936{col 34}{space 2} .0266602{col 45}{space 1}   -6.62{col 54}{space 3}0.000{col 62}{space 4}-.2288799{col 75}{space 3}-.1243074
{txt}football_opening_cat {c |}{col 22}{res}{space 2}-.2454286{col 34}{space 2} .0366426{col 45}{space 1}   -6.70{col 54}{space 3}0.000{col 62}{space 4}-.3172924{col 75}{space 3}-.1735648
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 4.005607{col 34}{space 2}  .162212{col 45}{space 1}   24.69{col 54}{space 3}0.000{col 62}{space 4} 3.687476{col 75}{space 3} 4.323739
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         
.         
.         ****************************************************************************
.         *Table A.6.3. World Cup start and change of opinions about world regions and countries with control for opening ceremony
.         ****************************************************************************
. 
.         #delimit ;
{txt}delimiter now ;
{com}.         global controls_3_ext = "
>                                                  age
>                                                  male 
>                                                  education3 
>                                                  mig_backg 
>                                                  pol_interest 
>                                                  pol_left_right 
>                                                  football_consumption 
>                                                  football_reports
>                                                  born_gdr
>                                                  football_opening_cat
>                                                  "
>         ;
{txt}
{com}.         #delimit cr             
{txt}delimiter now cr
{com}.         
.         *Model 1
.         reg world_regions_arab wave $controls_3_ext world_regions_russia world_regions_us world_regions_asia world_regions_europe , robust      

{txt}Linear regression                               Number of obs     = {res}     1,904
                                                {txt}F(15, 1888)       =  {res}    45.75
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.2738
                                                {txt}Root MSE          =    {res} .64244

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}  world_regions_arab{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2} .0953067{col 34}{space 2} .0297605{col 45}{space 1}    3.20{col 54}{space 3}0.001{col 62}{space 4} .0369397{col 75}{space 3} .1536737
{txt}{space 17}age {c |}{col 22}{res}{space 2} .0004997{col 34}{space 2}  .001121{col 45}{space 1}    0.45{col 54}{space 3}0.656{col 62}{space 4}-.0016988{col 75}{space 3} .0026982
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.0139798{col 34}{space 2} .0315531{col 45}{space 1}   -0.44{col 54}{space 3}0.658{col 62}{space 4}-.0758625{col 75}{space 3} .0479028
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} .0861111{col 34}{space 2} .0203519{col 45}{space 1}    4.23{col 54}{space 3}0.000{col 62}{space 4} .0461964{col 75}{space 3} .1260257
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2}-.0864864{col 34}{space 2} .0474265{col 45}{space 1}   -1.82{col 54}{space 3}0.068{col 62}{space 4}-.1795002{col 75}{space 3} .0065274
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} -.043942{col 34}{space 2} .0200325{col 45}{space 1}   -2.19{col 54}{space 3}0.028{col 62}{space 4}-.0832302{col 75}{space 3}-.0046537
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.0384797{col 34}{space 2} .0091828{col 45}{space 1}   -4.19{col 54}{space 3}0.000{col 62}{space 4}-.0564893{col 75}{space 3}-.0204701
{txt}football_consumption {c |}{col 22}{res}{space 2} .0294787{col 34}{space 2} .0141531{col 45}{space 1}    2.08{col 54}{space 3}0.037{col 62}{space 4} .0017213{col 75}{space 3}  .057236
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}-.0537312{col 34}{space 2} .0182963{col 45}{space 1}   -2.94{col 54}{space 3}0.003{col 62}{space 4}-.0896143{col 75}{space 3}-.0178481
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .0323378{col 34}{space 2} .0421488{col 45}{space 1}    0.77{col 54}{space 3}0.443{col 62}{space 4}-.0503253{col 75}{space 3}  .115001
{txt}football_opening_cat {c |}{col 22}{res}{space 2} .1392021{col 34}{space 2} .0255757{col 45}{space 1}    5.44{col 54}{space 3}0.000{col 62}{space 4} .0890424{col 75}{space 3} .1893618
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .2362628{col 34}{space 2} .0216028{col 45}{space 1}   10.94{col 54}{space 3}0.000{col 62}{space 4}  .193895{col 75}{space 3} .2786305
{txt}{space 4}world_regions_us {c |}{col 22}{res}{space 2} .1159776{col 34}{space 2} .0253738{col 45}{space 1}    4.57{col 54}{space 3}0.000{col 62}{space 4}  .066214{col 75}{space 3} .1657413
{txt}{space 2}world_regions_asia {c |}{col 22}{res}{space 2} .2807917{col 34}{space 2} .0256766{col 45}{space 1}   10.94{col 54}{space 3}0.000{col 62}{space 4} .2304343{col 75}{space 3} .3311492
{txt}world_regions_europe {c |}{col 22}{res}{space 2} -.029868{col 34}{space 2} .0278916{col 45}{space 1}   -1.07{col 54}{space 3}0.284{col 62}{space 4}-.0845695{col 75}{space 3} .0248336
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} .5759335{col 34}{space 2} .1282007{col 45}{space 1}    4.49{col 54}{space 3}0.000{col 62}{space 4} .3245035{col 75}{space 3} .8273635
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         
.         *Model 2
.         reg world_regions_asia wave $controls_3_ext   world_regions_russia world_regions_arab world_regions_us world_regions_europe , robust                    

{txt}Linear regression                               Number of obs     = {res}     1,904
                                                {txt}F(15, 1888)       =  {res}    51.64
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.2749
                                                {txt}Root MSE          =    {res} .61109

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}  world_regions_asia{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.0312994{col 34}{space 2} .0283285{col 45}{space 1}   -1.10{col 54}{space 3}0.269{col 62}{space 4}-.0868579{col 75}{space 3} .0242591
{txt}{space 17}age {c |}{col 22}{res}{space 2}-.0018094{col 34}{space 2} .0010343{col 45}{space 1}   -1.75{col 54}{space 3}0.080{col 62}{space 4}-.0038379{col 75}{space 3} .0002191
{txt}{space 16}male {c |}{col 22}{res}{space 2} .0854024{col 34}{space 2} .0307425{col 45}{space 1}    2.78{col 54}{space 3}0.006{col 62}{space 4} .0251095{col 75}{space 3} .1456953
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} .0220298{col 34}{space 2} .0196996{col 45}{space 1}    1.12{col 54}{space 3}0.264{col 62}{space 4}-.0166055{col 75}{space 3} .0606651
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .0848949{col 34}{space 2} .0444218{col 45}{space 1}    1.91{col 54}{space 3}0.056{col 62}{space 4}-.0022261{col 75}{space 3} .1720159
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0368083{col 34}{space 2}  .018878{col 45}{space 1}    1.95{col 54}{space 3}0.051{col 62}{space 4}-.0002157{col 75}{space 3} .0738322
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.0162037{col 34}{space 2}  .008035{col 45}{space 1}   -2.02{col 54}{space 3}0.044{col 62}{space 4}-.0319621{col 75}{space 3}-.0004452
{txt}football_consumption {c |}{col 22}{res}{space 2} -.028868{col 34}{space 2} .0138962{col 45}{space 1}   -2.08{col 54}{space 3}0.038{col 62}{space 4}-.0561215{col 75}{space 3}-.0016145
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2} .0096097{col 34}{space 2} .0173109{col 45}{space 1}    0.56{col 54}{space 3}0.579{col 62}{space 4}-.0243408{col 75}{space 3} .0435602
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .0666667{col 34}{space 2} .0392235{col 45}{space 1}    1.70{col 54}{space 3}0.089{col 62}{space 4}-.0102593{col 75}{space 3} .1435927
{txt}football_opening_cat {c |}{col 22}{res}{space 2} .0002787{col 34}{space 2} .0225268{col 45}{space 1}    0.01{col 54}{space 3}0.990{col 62}{space 4}-.0439012{col 75}{space 3} .0444587
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .1794715{col 34}{space 2} .0194374{col 45}{space 1}    9.23{col 54}{space 3}0.000{col 62}{space 4} .1413505{col 75}{space 3} .2175925
{txt}{space 2}world_regions_arab {c |}{col 22}{res}{space 2} .2540556{col 34}{space 2} .0235323{col 45}{space 1}   10.80{col 54}{space 3}0.000{col 62}{space 4} .2079036{col 75}{space 3} .3002076
{txt}{space 4}world_regions_us {c |}{col 22}{res}{space 2}  .140689{col 34}{space 2} .0231283{col 45}{space 1}    6.08{col 54}{space 3}0.000{col 62}{space 4} .0953292{col 75}{space 3} .1860488
{txt}world_regions_europe {c |}{col 22}{res}{space 2} .1787973{col 34}{space 2}  .025216{col 45}{space 1}    7.09{col 54}{space 3}0.000{col 62}{space 4} .1293432{col 75}{space 3} .2282514
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} .8474796{col 34}{space 2} .1190543{col 45}{space 1}    7.12{col 54}{space 3}0.000{col 62}{space 4} .6139877{col 75}{space 3} 1.080971
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         
.         *Model 3
.         reg world_regions_europe wave $controls_3_ext world_regions_russia world_regions_arab world_regions_asia world_regions_us , robust      

{txt}Linear regression                               Number of obs     = {res}     1,904
                                                {txt}F(15, 1888)       =  {res}    33.88
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.2475
                                                {txt}Root MSE          =    {res} .60254

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}world_regions_europe{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.0111209{col 34}{space 2} .0279216{col 45}{space 1}   -0.40{col 54}{space 3}0.690{col 62}{space 4}-.0658813{col 75}{space 3} .0436396
{txt}{space 17}age {c |}{col 22}{res}{space 2} .0042131{col 34}{space 2} .0010246{col 45}{space 1}    4.11{col 54}{space 3}0.000{col 62}{space 4} .0022036{col 75}{space 3} .0062226
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.0258345{col 34}{space 2} .0297065{col 45}{space 1}   -0.87{col 54}{space 3}0.385{col 62}{space 4}-.0840954{col 75}{space 3} .0324265
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} .1371465{col 34}{space 2} .0191166{col 45}{space 1}    7.17{col 54}{space 3}0.000{col 62}{space 4} .0996546{col 75}{space 3} .1746384
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .0357227{col 34}{space 2} .0431342{col 45}{space 1}    0.83{col 54}{space 3}0.408{col 62}{space 4}-.0488731{col 75}{space 3} .1203185
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0963567{col 34}{space 2} .0192204{col 45}{space 1}    5.01{col 54}{space 3}0.000{col 62}{space 4} .0586612{col 75}{space 3} .1340522
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.0001449{col 34}{space 2} .0083755{col 45}{space 1}   -0.02{col 54}{space 3}0.986{col 62}{space 4} -.016571{col 75}{space 3} .0162812
{txt}football_consumption {c |}{col 22}{res}{space 2} .0019448{col 34}{space 2} .0138041{col 45}{space 1}    0.14{col 54}{space 3}0.888{col 62}{space 4}-.0251281{col 75}{space 3} .0290176
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2} .0898445{col 34}{space 2} .0173273{col 45}{space 1}    5.19{col 54}{space 3}0.000{col 62}{space 4} .0558619{col 75}{space 3} .1238271
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2}-.1113876{col 34}{space 2} .0365347{col 45}{space 1}   -3.05{col 54}{space 3}0.002{col 62}{space 4}-.1830402{col 75}{space 3}-.0397351
{txt}football_opening_cat {c |}{col 22}{res}{space 2} -.054757{col 34}{space 2} .0232616{col 45}{space 1}   -2.35{col 54}{space 3}0.019{col 62}{space 4}-.1003783{col 75}{space 3}-.0091358
{txt}world_regions_russia {c |}{col 22}{res}{space 2}-.0669648{col 34}{space 2} .0195766{col 45}{space 1}   -3.42{col 54}{space 3}0.001{col 62}{space 4}-.1053589{col 75}{space 3}-.0285707
{txt}{space 2}world_regions_arab {c |}{col 22}{res}{space 2}-.0262732{col 34}{space 2} .0245199{col 45}{space 1}   -1.07{col 54}{space 3}0.284{col 62}{space 4}-.0743622{col 75}{space 3} .0218159
{txt}{space 2}world_regions_asia {c |}{col 22}{res}{space 2} .1738294{col 34}{space 2}  .024957{col 45}{space 1}    6.97{col 54}{space 3}0.000{col 62}{space 4} .1248831{col 75}{space 3} .2227757
{txt}{space 4}world_regions_us {c |}{col 22}{res}{space 2} .2811503{col 34}{space 2} .0231399{col 45}{space 1}   12.15{col 54}{space 3}0.000{col 62}{space 4} .2357679{col 75}{space 3} .3265327
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 1.187374{col 34}{space 2} .1222801{col 45}{space 1}    9.71{col 54}{space 3}0.000{col 62}{space 4} .9475554{col 75}{space 3} 1.427192
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         
.         *Model 4        
.         reg world_regions_us wave $controls_3_ext world_regions_russia world_regions_arab world_regions_asia world_regions_europe , robust      

{txt}Linear regression                               Number of obs     = {res}     1,904
                                                {txt}F(15, 1888)       =  {res}    30.61
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.2050
                                                {txt}Root MSE          =    {res} .68871

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}    world_regions_us{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.0388707{col 34}{space 2} .0318269{col 45}{space 1}   -1.22{col 54}{space 3}0.222{col 62}{space 4}-.1012904{col 75}{space 3} .0235489
{txt}{space 17}age {c |}{col 22}{res}{space 2} -.001933{col 34}{space 2} .0012007{col 45}{space 1}   -1.61{col 54}{space 3}0.108{col 62}{space 4}-.0042878{col 75}{space 3} .0004218
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.0358285{col 34}{space 2} .0339351{col 45}{space 1}   -1.06{col 54}{space 3}0.291{col 62}{space 4}-.1023827{col 75}{space 3} .0307258
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}-.0719253{col 34}{space 2} .0217267{col 45}{space 1}   -3.31{col 54}{space 3}0.001{col 62}{space 4}-.1145362{col 75}{space 3}-.0293145
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2}-.1736325{col 34}{space 2}  .050982{col 45}{space 1}   -3.41{col 54}{space 3}0.001{col 62}{space 4}-.2736195{col 75}{space 3}-.0736455
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2}-.0205958{col 34}{space 2} .0217908{col 45}{space 1}   -0.95{col 54}{space 3}0.345{col 62}{space 4}-.0633323{col 75}{space 3} .0221407
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2} .0193823{col 34}{space 2} .0098293{col 45}{space 1}    1.97{col 54}{space 3}0.049{col 62}{space 4}  .000105{col 75}{space 3} .0386597
{txt}football_consumption {c |}{col 22}{res}{space 2} .0384644{col 34}{space 2} .0157978{col 45}{space 1}    2.43{col 54}{space 3}0.015{col 62}{space 4} .0074813{col 75}{space 3} .0694474
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}-.0504915{col 34}{space 2} .0198963{col 45}{space 1}   -2.54{col 54}{space 3}0.011{col 62}{space 4}-.0895124{col 75}{space 3}-.0114705
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} -.120168{col 34}{space 2} .0467123{col 45}{space 1}   -2.57{col 54}{space 3}0.010{col 62}{space 4}-.2117812{col 75}{space 3}-.0285549
{txt}football_opening_cat {c |}{col 22}{res}{space 2} .0381273{col 34}{space 2} .0261347{col 45}{space 1}    1.46{col 54}{space 3}0.145{col 62}{space 4}-.0131286{col 75}{space 3} .0893832
{txt}world_regions_russia {c |}{col 22}{res}{space 2}-.0844505{col 34}{space 2} .0238722{col 45}{space 1}   -3.54{col 54}{space 3}0.000{col 62}{space 4}-.1312692{col 75}{space 3}-.0376318
{txt}{space 2}world_regions_arab {c |}{col 22}{res}{space 2} .1332854{col 34}{space 2}   .02869{col 45}{space 1}    4.65{col 54}{space 3}0.000{col 62}{space 4}  .077018{col 75}{space 3} .1895529
{txt}{space 2}world_regions_asia {c |}{col 22}{res}{space 2} .1786998{col 34}{space 2} .0297272{col 45}{space 1}    6.01{col 54}{space 3}0.000{col 62}{space 4} .1203982{col 75}{space 3} .2370015
{txt}world_regions_europe {c |}{col 22}{res}{space 2} .3673164{col 34}{space 2}  .028969{col 45}{space 1}   12.68{col 54}{space 3}0.000{col 62}{space 4} .3105018{col 75}{space 3} .4241309
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 1.180349{col 34}{space 2} .1374373{col 45}{space 1}    8.59{col 54}{space 3}0.000{col 62}{space 4} .9108039{col 75}{space 3} 1.449894
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         
.                 
.         ****************************************************************************
.         *Table A.6.4. World Cup start and change of opinions about German media and boycott with control for opening ceremony
.         ****************************************************************************    
. 
.         *Control variables
.         #delimit ;
{txt}delimiter now ;
{com}.         global controls_4_ext = "
>                                                  age
>                                                  male
>                                                  education3 
>                                                  mig_backg 
>                                                  pol_interest 
>                                                  pol_left_right 
>                                                  football_consumption 
>                                                  football_reports
>                                                  born_gdr
>                                                  world_regions_russia
>                                                  football_opening_cat
>                                                  "
>         ;
{txt}
{com}.         #delimit cr     
{txt}delimiter now cr
{com}.                 
.         *Dependent variables
.         #delimit ;
{txt}delimiter now ;
{com}.         tokenize                           "
>                                                    qat_state_2_speech
>                                                    qat_state_2_critic
>                                                    pol_media_opinion
>                                                    football_boycott_pol 
>                                                    ";
{txt}
{com}.         #delimit cr     
{txt}delimiter now cr
{com}. 
.         *Models 1-4
.         forval j=1/4  {c -(} 
{txt}  2{com}.         tab ``j''
{txt}  3{com}.         
.         reg ``j'' wave $controls_4_ext , robust
{txt}  4{com}.         {c )-}       

 {txt}Germany: Freedom {c |}
    of expression {c |}
 similar to Qatar {c |}      Freq.     Percent        Cum.
{hline 18}{c +}{hline 35}
strongly disagree {c |}{res}        686       34.42       34.42
{txt}         disagree {c |}{res}        502       25.19       59.61
{txt}      neither nor {c |}{res}        490       24.59       84.19
{txt}            agree {c |}{res}        197        9.88       94.08
{txt}    stronly agree {c |}{res}        118        5.92      100.00
{txt}{hline 18}{c +}{hline 35}
            Total {c |}{res}      1,993      100.00

{txt}Linear regression                               Number of obs     = {res}     1,916
                                                {txt}F(12, 1903)       =  {res}    33.53
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1743
                                                {txt}Root MSE          =    {res} 1.0986

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}  qat_state_2_speech{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2} .1364261{col 34}{space 2} .0501777{col 45}{space 1}    2.72{col 54}{space 3}0.007{col 62}{space 4}  .038017{col 75}{space 3} .2348352
{txt}{space 17}age {c |}{col 22}{res}{space 2}-.0049217{col 34}{space 2} .0018707{col 45}{space 1}   -2.63{col 54}{space 3}0.009{col 62}{space 4}-.0085905{col 75}{space 3}-.0012528
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.0865763{col 34}{space 2}  .054887{col 45}{space 1}   -1.58{col 54}{space 3}0.115{col 62}{space 4}-.1942213{col 75}{space 3} .0210688
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}-.1583688{col 34}{space 2} .0341179{col 45}{space 1}   -4.64{col 54}{space 3}0.000{col 62}{space 4}-.2252812{col 75}{space 3}-.0914563
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .0910289{col 34}{space 2} .0738169{col 45}{space 1}    1.23{col 54}{space 3}0.218{col 62}{space 4}-.0537417{col 75}{space 3} .2357995
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0257633{col 34}{space 2} .0345278{col 45}{space 1}    0.75{col 54}{space 3}0.456{col 62}{space 4}-.0419531{col 75}{space 3} .0934797
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2} .0897303{col 34}{space 2} .0152051{col 45}{space 1}    5.90{col 54}{space 3}0.000{col 62}{space 4} .0599099{col 75}{space 3} .1195508
{txt}football_consumption {c |}{col 22}{res}{space 2} .0251162{col 34}{space 2} .0259762{col 45}{space 1}    0.97{col 54}{space 3}0.334{col 62}{space 4}-.0258286{col 75}{space 3} .0760609
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}-.1818494{col 34}{space 2} .0319379{col 45}{space 1}   -5.69{col 54}{space 3}0.000{col 62}{space 4}-.2444864{col 75}{space 3}-.1192125
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .1804524{col 34}{space 2} .0707317{col 45}{space 1}    2.55{col 54}{space 3}0.011{col 62}{space 4} .0417324{col 75}{space 3} .3191723
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .3891315{col 34}{space 2} .0328708{col 45}{space 1}   11.84{col 54}{space 3}0.000{col 62}{space 4} .3246649{col 75}{space 3} .4535981
{txt}football_opening_cat {c |}{col 22}{res}{space 2} .1433219{col 34}{space 2} .0416137{col 45}{space 1}    3.44{col 54}{space 3}0.001{col 62}{space 4} .0617086{col 75}{space 3} .2249351
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 1.661547{col 34}{space 2} .1868049{col 45}{space 1}    8.89{col 54}{space 3}0.000{col 62}{space 4} 1.295183{col 75}{space 3} 2.027911
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Germany: Too much {c |}
     criticism by {c |}
            media {c |}      Freq.     Percent        Cum.
{hline 18}{c +}{hline 35}
strongly disagree {c |}{res}        559       28.06       28.06
{txt}         disagree {c |}{res}        528       26.51       54.57
{txt}      neither nor {c |}{res}        515       25.85       80.42
{txt}            agree {c |}{res}        260       13.05       93.47
{txt}    stronly agree {c |}{res}        130        6.53      100.00
{txt}{hline 18}{c +}{hline 35}
            Total {c |}{res}      1,992      100.00

{txt}Linear regression                               Number of obs     = {res}     1,916
                                                {txt}F(12, 1903)       =  {res}    24.77
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1387
                                                {txt}Root MSE          =    {res} 1.1236

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}  qat_state_2_critic{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2} .1502168{col 34}{space 2} .0515653{col 45}{space 1}    2.91{col 54}{space 3}0.004{col 62}{space 4} .0490865{col 75}{space 3} .2513472
{txt}{space 17}age {c |}{col 22}{res}{space 2}-.0022263{col 34}{space 2} .0019136{col 45}{space 1}   -1.16{col 54}{space 3}0.245{col 62}{space 4}-.0059792{col 75}{space 3} .0015266
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.0491946{col 34}{space 2} .0551459{col 45}{space 1}   -0.89{col 54}{space 3}0.372{col 62}{space 4}-.1573474{col 75}{space 3} .0589582
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}-.0596529{col 34}{space 2} .0351645{col 45}{space 1}   -1.70{col 54}{space 3}0.090{col 62}{space 4}-.1286178{col 75}{space 3} .0093121
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .0059694{col 34}{space 2}  .075284{col 45}{space 1}    0.08{col 54}{space 3}0.937{col 62}{space 4}-.1416783{col 75}{space 3} .1536172
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2}-.0229871{col 34}{space 2} .0342173{col 45}{space 1}   -0.67{col 54}{space 3}0.502{col 62}{space 4}-.0900944{col 75}{space 3} .0441202
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2} .0457823{col 34}{space 2} .0149201{col 45}{space 1}    3.07{col 54}{space 3}0.002{col 62}{space 4} .0165209{col 75}{space 3} .0750438
{txt}football_consumption {c |}{col 22}{res}{space 2} .0108672{col 34}{space 2} .0252226{col 45}{space 1}    0.43{col 54}{space 3}0.667{col 62}{space 4}-.0385996{col 75}{space 3} .0603341
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}-.1857538{col 34}{space 2} .0328173{col 45}{space 1}   -5.66{col 54}{space 3}0.000{col 62}{space 4}-.2501154{col 75}{space 3}-.1213922
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .1753304{col 34}{space 2} .0674863{col 45}{space 1}    2.60{col 54}{space 3}0.009{col 62}{space 4} .0429755{col 75}{space 3} .3076853
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .2724341{col 34}{space 2} .0322418{col 45}{space 1}    8.45{col 54}{space 3}0.000{col 62}{space 4} .2092011{col 75}{space 3} .3356671
{txt}football_opening_cat {c |}{col 22}{res}{space 2} .3805573{col 34}{space 2} .0417927{col 45}{space 1}    9.11{col 54}{space 3}0.000{col 62}{space 4} .2985929{col 75}{space 3} .4625218
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}   1.7752{col 34}{space 2} .1907963{col 45}{space 1}    9.30{col 54}{space 3}0.000{col 62}{space 4} 1.401008{col 75}{space 3} 2.149392
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
         {txt}Germany: {c |}
    Imposition of {c |}
 opinion by media {c |}      Freq.     Percent        Cum.
{hline 18}{c +}{hline 35}
strongly disagree {c |}{res}        134        6.70        6.70
{txt}         disagree {c |}{res}        364       18.21       24.91
{txt}      neither nor {c |}{res}        740       37.02       61.93
{txt}            agree {c |}{res}        445       22.26       84.19
{txt}    stronly agree {c |}{res}        316       15.81      100.00
{txt}{hline 18}{c +}{hline 35}
            Total {c |}{res}      1,999      100.00

{txt}Linear regression                               Number of obs     = {res}     1,919
                                                {txt}F(12, 1906)       =  {res}    17.24
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0949
                                                {txt}Root MSE          =    {res} 1.0708

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}   pol_media_opinion{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2} .1056756{col 34}{space 2} .0489866{col 45}{space 1}    2.16{col 54}{space 3}0.031{col 62}{space 4} .0096026{col 75}{space 3} .2017485
{txt}{space 17}age {c |}{col 22}{res}{space 2}-.0012542{col 34}{space 2} .0018473{col 45}{space 1}   -0.68{col 54}{space 3}0.497{col 62}{space 4}-.0048771{col 75}{space 3} .0023686
{txt}{space 16}male {c |}{col 22}{res}{space 2} -.011354{col 34}{space 2}  .052648{col 45}{space 1}   -0.22{col 54}{space 3}0.829{col 62}{space 4}-.1146077{col 75}{space 3} .0918997
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}-.0335657{col 34}{space 2} .0332369{col 45}{space 1}   -1.01{col 54}{space 3}0.313{col 62}{space 4}-.0987503{col 75}{space 3} .0316189
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .1282661{col 34}{space 2} .0715838{col 45}{space 1}    1.79{col 54}{space 3}0.073{col 62}{space 4}-.0121246{col 75}{space 3} .2686569
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0213901{col 34}{space 2} .0324239{col 45}{space 1}    0.66{col 54}{space 3}0.510{col 62}{space 4}-.0422001{col 75}{space 3} .0849802
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2} .0881252{col 34}{space 2} .0135237{col 45}{space 1}    6.52{col 54}{space 3}0.000{col 62}{space 4} .0616023{col 75}{space 3}  .114648
{txt}football_consumption {c |}{col 22}{res}{space 2} .0187339{col 34}{space 2} .0246718{col 45}{space 1}    0.76{col 54}{space 3}0.448{col 62}{space 4}-.0296527{col 75}{space 3} .0671206
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2} .0173693{col 34}{space 2} .0301579{col 45}{space 1}    0.58{col 54}{space 3}0.565{col 62}{space 4}-.0417766{col 75}{space 3} .0765151
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .1344538{col 34}{space 2} .0651648{col 45}{space 1}    2.06{col 54}{space 3}0.039{col 62}{space 4} .0066519{col 75}{space 3} .2622557
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .2966936{col 34}{space 2} .0310052{col 45}{space 1}    9.57{col 54}{space 3}0.000{col 62}{space 4} .2358859{col 75}{space 3} .3575013
{txt}football_opening_cat {c |}{col 22}{res}{space 2}-.0122628{col 34}{space 2}   .04099{col 45}{space 1}   -0.30{col 54}{space 3}0.765{col 62}{space 4}-.0926527{col 75}{space 3} .0681271
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 2.090353{col 34}{space 2} .1706028{col 45}{space 1}   12.25{col 54}{space 3}0.000{col 62}{space 4} 1.755765{col 75}{space 3} 2.424941
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
 {txt}Germany: Boycott {c |}
of tournaments by {c |}
      politicians {c |}      Freq.     Percent        Cum.
{hline 18}{c +}{hline 35}
strongly disagree {c |}{res}        139        6.92        6.92
{txt}         disagree {c |}{res}        208       10.36       17.28
{txt}      neither nor {c |}{res}        568       28.29       45.57
{txt}            agree {c |}{res}        473       23.56       69.12
{txt}    stronly agree {c |}{res}        620       30.88      100.00
{txt}{hline 18}{c +}{hline 35}
            Total {c |}{res}      2,008      100.00

{txt}Linear regression                               Number of obs     = {res}     1,926
                                                {txt}F(12, 1913)       =  {res}    29.72
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1581
                                                {txt}Root MSE          =    {res} 1.1181

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}football_boycott_pol{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.1796694{col 34}{space 2} .0512452{col 45}{space 1}   -3.51{col 54}{space 3}0.000{col 62}{space 4}-.2801717{col 75}{space 3}-.0791672
{txt}{space 17}age {c |}{col 22}{res}{space 2} .0042493{col 34}{space 2} .0019262{col 45}{space 1}    2.21{col 54}{space 3}0.028{col 62}{space 4} .0004715{col 75}{space 3}  .008027
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.0047599{col 34}{space 2} .0539076{col 45}{space 1}   -0.09{col 54}{space 3}0.930{col 62}{space 4}-.1104837{col 75}{space 3} .1009638
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} .0392746{col 34}{space 2} .0352649{col 45}{space 1}    1.11{col 54}{space 3}0.266{col 62}{space 4}-.0298872{col 75}{space 3} .1084363
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2}-.1345202{col 34}{space 2} .0828245{col 45}{space 1}   -1.62{col 54}{space 3}0.105{col 62}{space 4} -.296956{col 75}{space 3} .0279155
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0728927{col 34}{space 2} .0348946{col 45}{space 1}    2.09{col 54}{space 3}0.037{col 62}{space 4} .0044572{col 75}{space 3} .1413283
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.0567646{col 34}{space 2} .0154056{col 45}{space 1}   -3.68{col 54}{space 3}0.000{col 62}{space 4}-.0869782{col 75}{space 3} -.026551
{txt}football_consumption {c |}{col 22}{res}{space 2}-.0237328{col 34}{space 2} .0251372{col 45}{space 1}   -0.94{col 54}{space 3}0.345{col 62}{space 4}-.0730319{col 75}{space 3} .0255663
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2} .2275811{col 34}{space 2} .0321021{col 45}{space 1}    7.09{col 54}{space 3}0.000{col 62}{space 4} .1646223{col 75}{space 3} .2905398
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} -.114636{col 34}{space 2} .0699357{col 45}{space 1}   -1.64{col 54}{space 3}0.101{col 62}{space 4}-.2517942{col 75}{space 3} .0225222
{txt}world_regions_russia {c |}{col 22}{res}{space 2}-.1879599{col 34}{space 2} .0343138{col 45}{space 1}   -5.48{col 54}{space 3}0.000{col 62}{space 4}-.2552563{col 75}{space 3}-.1206634
{txt}football_opening_cat {c |}{col 22}{res}{space 2}-.4687678{col 34}{space 2}  .042886{col 45}{space 1}  -10.93{col 54}{space 3}0.000{col 62}{space 4} -.552876{col 75}{space 3}-.3846595
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 4.100376{col 34}{space 2} .1958975{col 45}{space 1}   20.93{col 54}{space 3}0.000{col 62}{space 4} 3.716181{col 75}{space 3} 4.484571
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         
.         
.         ****************************************************************************
.         *Table A.6.5. World Cup start and change of political opinions with control for opening ceremony
.         ****************************************************************************
.                         
.         *Control variables      
.         #delimit ;
{txt}delimiter now ;
{com}.         global controls_5_ext = "
>                                                  age
>                                                  male 
>                                                  education3 
>                                                  mig_backg 
>                                                  pol_interest 
>                                                  pol_left_right 
>                                                  football_consumption 
>                                                  football_reports
>                                                  born_gdr
>                                                  world_regions_russia
>                                                  football_opening_cat
>                                                  "
>         ;
{txt}
{com}.         #delimit cr             
{txt}delimiter now cr
{com}.         
.         *Dependent variables
.         #delimit ;
{txt}delimiter now ;
{com}.         tokenize                           "    
>                                                    pol_woke_female
>                                                    pol_xeno_mosque
>                                                    pol_woke_homo
>                                                    pol_xeno_security    
>                                                    ";
{txt}
{com}.         #delimit cr                                                        
{txt}delimiter now cr
{com}. 
.         *Models 1-4
.         forval j=1/4  {c -(} 
{txt}  2{com}.         tab ``j''
{txt}  3{com}. 
.         reg ``j'' wave $controls_5_ext , robust
{txt}  4{com}.         
.         {c )-}       

         {txt}Germany: {c |}
     Professional {c |}
disadvantages for {c |}
            women {c |}      Freq.     Percent        Cum.
{hline 18}{c +}{hline 35}
strongly disagree {c |}{res}        140        7.00        7.00
{txt}         disagree {c |}{res}        308       15.41       22.41
{txt}      neither nor {c |}{res}        750       37.52       59.93
{txt}            agree {c |}{res}        569       28.46       88.39
{txt}    stronly agree {c |}{res}        232       11.61      100.00
{txt}{hline 18}{c +}{hline 35}
            Total {c |}{res}      1,999      100.00

{txt}Linear regression                               Number of obs     = {res}     1,921
                                                {txt}F(12, 1908)       =  {res}    13.51
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0851
                                                {txt}Root MSE          =    {res} 1.0201

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}     pol_woke_female{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.0025932{col 34}{space 2} .0467722{col 45}{space 1}   -0.06{col 54}{space 3}0.956{col 62}{space 4}-.0943232{col 75}{space 3} .0891367
{txt}{space 17}age {c |}{col 22}{res}{space 2} .0046978{col 34}{space 2} .0017006{col 45}{space 1}    2.76{col 54}{space 3}0.006{col 62}{space 4} .0013626{col 75}{space 3} .0080331
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.3884976{col 34}{space 2} .0504543{col 45}{space 1}   -7.70{col 54}{space 3}0.000{col 62}{space 4}-.4874491{col 75}{space 3}-.2895462
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}-.0636633{col 34}{space 2} .0310037{col 45}{space 1}   -2.05{col 54}{space 3}0.040{col 62}{space 4} -.124468{col 75}{space 3}-.0028586
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .0532322{col 34}{space 2} .0722289{col 45}{space 1}    0.74{col 54}{space 3}0.461{col 62}{space 4}-.0884237{col 75}{space 3} .1948881
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2}-.0233454{col 34}{space 2} .0309399{col 45}{space 1}   -0.75{col 54}{space 3}0.451{col 62}{space 4}-.0840249{col 75}{space 3} .0373342
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.1038874{col 34}{space 2} .0139027{col 45}{space 1}   -7.47{col 54}{space 3}0.000{col 62}{space 4}-.1311536{col 75}{space 3}-.0766213
{txt}football_consumption {c |}{col 22}{res}{space 2} .0003261{col 34}{space 2} .0220768{col 45}{space 1}    0.01{col 54}{space 3}0.988{col 62}{space 4}-.0429711{col 75}{space 3} .0436233
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2} .0162113{col 34}{space 2} .0289073{col 45}{space 1}    0.56{col 54}{space 3}0.575{col 62}{space 4} -.040482{col 75}{space 3} .0729046
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2}-.0905492{col 34}{space 2} .0643247{col 45}{space 1}   -1.41{col 54}{space 3}0.159{col 62}{space 4}-.2167033{col 75}{space 3} .0356049
{txt}world_regions_russia {c |}{col 22}{res}{space 2}-.0291397{col 34}{space 2} .0301511{col 45}{space 1}   -0.97{col 54}{space 3}0.334{col 62}{space 4}-.0882724{col 75}{space 3} .0299929
{txt}football_opening_cat {c |}{col 22}{res}{space 2}-.0129048{col 34}{space 2} .0408786{col 45}{space 1}   -0.32{col 54}{space 3}0.752{col 62}{space 4}-.0930762{col 75}{space 3} .0672665
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 4.015897{col 34}{space 2} .1711867{col 45}{space 1}   23.46{col 54}{space 3}0.000{col 62}{space 4} 3.680164{col 75}{space 3}  4.35163
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
   {txt}Germany: Calls {c |}
  for prayer from {c |}
          mosques {c |}      Freq.     Percent        Cum.
{hline 18}{c +}{hline 35}
strongly disagree {c |}{res}        597       30.02       30.02
{txt}         disagree {c |}{res}        448       22.52       52.54
{txt}      neither nor {c |}{res}        495       24.89       77.43
{txt}            agree {c |}{res}        283       14.23       91.65
{txt}    stronly agree {c |}{res}        166        8.35      100.00
{txt}{hline 18}{c +}{hline 35}
            Total {c |}{res}      1,989      100.00

{txt}Linear regression                               Number of obs     = {res}     1,910
                                                {txt}F(12, 1897)       =  {res}    24.41
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1334
                                                {txt}Root MSE          =    {res} 1.1952

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}     pol_xeno_mosque{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.0004877{col 34}{space 2} .0552225{col 45}{space 1}   -0.01{col 54}{space 3}0.993{col 62}{space 4}-.1087908{col 75}{space 3} .1078155
{txt}{space 17}age {c |}{col 22}{res}{space 2}-.0085562{col 34}{space 2}  .002112{col 45}{space 1}   -4.05{col 54}{space 3}0.000{col 62}{space 4}-.0126982{col 75}{space 3}-.0044141
{txt}{space 16}male {c |}{col 22}{res}{space 2} .0541622{col 34}{space 2} .0582367{col 45}{space 1}    0.93{col 54}{space 3}0.352{col 62}{space 4}-.0600525{col 75}{space 3} .1683769
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} .2067627{col 34}{space 2} .0373176{col 45}{space 1}    5.54{col 54}{space 3}0.000{col 62}{space 4} .1335749{col 75}{space 3} .2799505
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2}-.0038581{col 34}{space 2} .0864262{col 45}{space 1}   -0.04{col 54}{space 3}0.964{col 62}{space 4}-.1733586{col 75}{space 3} .1656423
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2}-.0255112{col 34}{space 2} .0354844{col 45}{space 1}   -0.72{col 54}{space 3}0.472{col 62}{space 4}-.0951038{col 75}{space 3} .0440813
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.1716789{col 34}{space 2} .0164103{col 45}{space 1}  -10.46{col 54}{space 3}0.000{col 62}{space 4} -.203863{col 75}{space 3}-.1394948
{txt}football_consumption {c |}{col 22}{res}{space 2} .0240757{col 34}{space 2} .0257172{col 45}{space 1}    0.94{col 54}{space 3}0.349{col 62}{space 4}-.0263613{col 75}{space 3} .0745127
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}-.0319431{col 34}{space 2} .0334663{col 45}{space 1}   -0.95{col 54}{space 3}0.340{col 62}{space 4}-.0975777{col 75}{space 3} .0336915
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2}-.1716443{col 34}{space 2} .0724025{col 45}{space 1}   -2.37{col 54}{space 3}0.018{col 62}{space 4}-.3136413{col 75}{space 3}-.0296474
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .1116796{col 34}{space 2} .0349669{col 45}{space 1}    3.19{col 54}{space 3}0.001{col 62}{space 4}  .043102{col 75}{space 3} .1802571
{txt}football_opening_cat {c |}{col 22}{res}{space 2} .2296451{col 34}{space 2} .0451383{col 45}{space 1}    5.09{col 54}{space 3}0.000{col 62}{space 4} .1411192{col 75}{space 3}  .318171
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 2.939909{col 34}{space 2}  .202489{col 45}{space 1}   14.52{col 54}{space 3}0.000{col 62}{space 4} 2.542784{col 75}{space 3} 3.337033
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
         {txt}Germany: {c |}
      Exaggerated {c |}
     demands from {c |}
      homosexuals {c |}      Freq.     Percent        Cum.
{hline 18}{c +}{hline 35}
strongly disagree {c |}{res}        445       22.24       22.24
{txt}         disagree {c |}{res}        421       21.04       43.28
{txt}      neither nor {c |}{res}        541       27.04       70.31
{txt}            agree {c |}{res}        297       14.84       85.16
{txt}    stronly agree {c |}{res}        297       14.84      100.00
{txt}{hline 18}{c +}{hline 35}
            Total {c |}{res}      2,001      100.00

{txt}Linear regression                               Number of obs     = {res}     1,922
                                                {txt}F(12, 1909)       =  {res}    35.27
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1660
                                                {txt}Root MSE          =    {res}  1.229

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}       pol_woke_homo{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2} .1722139{col 34}{space 2} .0563971{col 45}{space 1}    3.05{col 54}{space 3}0.002{col 62}{space 4} .0616074{col 75}{space 3} .2828204
{txt}{space 17}age {c |}{col 22}{res}{space 2}-.0007284{col 34}{space 2} .0021271{col 45}{space 1}   -0.34{col 54}{space 3}0.732{col 62}{space 4}   -.0049{col 75}{space 3} .0034432
{txt}{space 16}male {c |}{col 22}{res}{space 2} .2600285{col 34}{space 2} .0601786{col 45}{space 1}    4.32{col 54}{space 3}0.000{col 62}{space 4} .1420058{col 75}{space 3} .3780512
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}-.1452322{col 34}{space 2} .0385075{col 45}{space 1}   -3.77{col 54}{space 3}0.000{col 62}{space 4}-.2207534{col 75}{space 3}-.0697111
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .2156464{col 34}{space 2} .0830291{col 45}{space 1}    2.60{col 54}{space 3}0.009{col 62}{space 4} .0528092{col 75}{space 3} .3784837
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0796306{col 34}{space 2} .0369356{col 45}{space 1}    2.16{col 54}{space 3}0.031{col 62}{space 4} .0071923{col 75}{space 3}  .152069
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2} .1764701{col 34}{space 2} .0157279{col 45}{space 1}   11.22{col 54}{space 3}0.000{col 62}{space 4} .1456244{col 75}{space 3} .2073159
{txt}football_consumption {c |}{col 22}{res}{space 2} .0110267{col 34}{space 2} .0276688{col 45}{space 1}    0.40{col 54}{space 3}0.690{col 62}{space 4}-.0432376{col 75}{space 3} .0652911
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}-.1082358{col 34}{space 2} .0345819{col 45}{space 1}   -3.13{col 54}{space 3}0.002{col 62}{space 4}-.1760581{col 75}{space 3}-.0404134
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .0679564{col 34}{space 2} .0741505{col 45}{space 1}    0.92{col 54}{space 3}0.360{col 62}{space 4}-.0774681{col 75}{space 3} .2133808
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .2446889{col 34}{space 2} .0353289{col 45}{space 1}    6.93{col 54}{space 3}0.000{col 62}{space 4} .1754016{col 75}{space 3} .3139763
{txt}football_opening_cat {c |}{col 22}{res}{space 2} .2341131{col 34}{space 2}  .047006{col 45}{space 1}    4.98{col 54}{space 3}0.000{col 62}{space 4} .1419246{col 75}{space 3} .3263015
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}  1.13667{col 34}{space 2} .1998699{col 45}{space 1}    5.69{col 54}{space 3}0.000{col 62}{space 4} .7446835{col 75}{space 3} 1.528656
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Germany: Security {c |}
  threats through {c |}
      immigration {c |}      Freq.     Percent        Cum.
{hline 18}{c +}{hline 35}
strongly disagree {c |}{res}        251       12.60       12.60
{txt}         disagree {c |}{res}        344       17.27       29.87
{txt}      neither nor {c |}{res}        619       31.07       60.94
{txt}            agree {c |}{res}        396       19.88       80.82
{txt}    stronly agree {c |}{res}        382       19.18      100.00
{txt}{hline 18}{c +}{hline 35}
            Total {c |}{res}      1,992      100.00

{txt}Linear regression                               Number of obs     = {res}     1,913
                                                {txt}F(12, 1900)       =  {res}    26.06
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1429
                                                {txt}Root MSE          =    {res}  1.181

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}   pol_xeno_security{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2} .1283097{col 34}{space 2} .0541274{col 45}{space 1}    2.37{col 54}{space 3}0.018{col 62}{space 4} .0221544{col 75}{space 3} .2344651
{txt}{space 17}age {c |}{col 22}{res}{space 2} .0035142{col 34}{space 2} .0020676{col 45}{space 1}    1.70{col 54}{space 3}0.089{col 62}{space 4}-.0005408{col 75}{space 3} .0075693
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.0748464{col 34}{space 2} .0580526{col 45}{space 1}   -1.29{col 54}{space 3}0.197{col 62}{space 4}   -.1887{col 75}{space 3} .0390072
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}-.2507805{col 34}{space 2} .0363555{col 45}{space 1}   -6.90{col 54}{space 3}0.000{col 62}{space 4}-.3220815{col 75}{space 3}-.1794795
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} -.077028{col 34}{space 2} .0770633{col 45}{space 1}   -1.00{col 54}{space 3}0.318{col 62}{space 4}-.2281656{col 75}{space 3} .0741095
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0680339{col 34}{space 2} .0364749{col 45}{space 1}    1.87{col 54}{space 3}0.062{col 62}{space 4}-.0035011{col 75}{space 3} .1395688
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2} .1948508{col 34}{space 2} .0163139{col 45}{space 1}   11.94{col 54}{space 3}0.000{col 62}{space 4} .1628558{col 75}{space 3} .2268458
{txt}football_consumption {c |}{col 22}{res}{space 2} .0051067{col 34}{space 2} .0274925{col 45}{space 1}    0.19{col 54}{space 3}0.853{col 62}{space 4} -.048812{col 75}{space 3} .0590254
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}-.0311495{col 34}{space 2} .0346351{col 45}{space 1}   -0.90{col 54}{space 3}0.369{col 62}{space 4}-.0990764{col 75}{space 3} .0367774
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2}   .12069{col 34}{space 2} .0715533{col 45}{space 1}    1.69{col 54}{space 3}0.092{col 62}{space 4}-.0196412{col 75}{space 3} .2610212
{txt}world_regions_russia {c |}{col 22}{res}{space 2}  .116043{col 34}{space 2} .0340791{col 45}{space 1}    3.41{col 54}{space 3}0.001{col 62}{space 4} .0492067{col 75}{space 3} .1828793
{txt}football_opening_cat {c |}{col 22}{res}{space 2} .0227624{col 34}{space 2} .0457877{col 45}{space 1}    0.50{col 54}{space 3}0.619{col 62}{space 4}-.0670371{col 75}{space 3} .1125619
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 2.050494{col 34}{space 2} .1972574{col 45}{space 1}   10.40{col 54}{space 3}0.000{col 62}{space 4}  1.66363{col 75}{space 3} 2.437358
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         
.         
.         ****************************************************************************
.         *Table A.6.6. Ordered logistic regressions: Watching the start of the World Cup
.         ****************************************************************************    
.                 
.         *Control variables
.         #delimit ;
{txt}delimiter now ;
{com}.         global controls_1 = "
>                                                  age
>                                                  male 
>                                                  education3 
>                                                  mig_backg 
>                                                  pol_interest 
>                                                  pol_left_right 
>                                                  football_consumption   
>                                                  football_reports
>                                                  born_gdr
>                                                  world_regions_russia
>                                                  "
>         ;
{txt}
{com}.         #delimit cr
{txt}delimiter now cr
{com}. 
.         *Model 1  
.         ologit football_opening_cat $controls_1 if wave==0, robust

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-803.77866}  
Iteration 1:{space 3}log pseudolikelihood = {res:-683.16116}  
Iteration 2:{space 3}log pseudolikelihood = {res: -676.5194}  
Iteration 3:{space 3}log pseudolikelihood = {res:-676.50184}  
Iteration 4:{space 3}log pseudolikelihood = {res:-676.50184}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}       963
{txt}{col 49}Wald chi2({res}10{txt}){col 67}= {res}    228.92
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-676.50184{txt}{col 49}Pseudo R2{col 67}= {res}    0.1583

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}football_opening_cat{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 17}age {c |}{col 22}{res}{space 2}-.0235208{col 34}{space 2} .0055688{col 45}{space 1}   -4.22{col 54}{space 3}0.000{col 62}{space 4}-.0344353{col 75}{space 3}-.0126062
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.2454918{col 34}{space 2} .1630614{col 45}{space 1}   -1.51{col 54}{space 3}0.132{col 62}{space 4}-.5650862{col 75}{space 3} .0741026
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}-.3515494{col 34}{space 2} .1099907{col 45}{space 1}   -3.20{col 54}{space 3}0.001{col 62}{space 4}-.5671272{col 75}{space 3}-.1359715
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .8023631{col 34}{space 2} .2150359{col 45}{space 1}    3.73{col 54}{space 3}0.000{col 62}{space 4} .3809005{col 75}{space 3} 1.223826
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .4017186{col 34}{space 2} .0971643{col 45}{space 1}    4.13{col 54}{space 3}0.000{col 62}{space 4}   .21128{col 75}{space 3} .5921572
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2} .0338141{col 34}{space 2} .0395752{col 45}{space 1}    0.85{col 54}{space 3}0.393{col 62}{space 4}-.0437519{col 75}{space 3} .1113801
{txt}football_consumption {c |}{col 22}{res}{space 2} .8498205{col 34}{space 2} .0661691{col 45}{space 1}   12.84{col 54}{space 3}0.000{col 62}{space 4} .7201315{col 75}{space 3} .9795096
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}-.1549181{col 34}{space 2} .1010247{col 45}{space 1}   -1.53{col 54}{space 3}0.125{col 62}{space 4}-.3529229{col 75}{space 3} .0430867
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2}  .471797{col 34}{space 2} .1915043{col 45}{space 1}    2.46{col 54}{space 3}0.014{col 62}{space 4} .0964554{col 75}{space 3} .8471385
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .1412514{col 34}{space 2} .0893181{col 45}{space 1}    1.58{col 54}{space 3}0.114{col 62}{space 4}-.0338088{col 75}{space 3} .3163116
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}/cut1 {c |}{col 22}{res}{space 2} 2.521257{col 34}{space 2} .5368676{col 62}{space 4} 1.469015{col 75}{space 3} 3.573498
{txt}{space 15}/cut2 {c |}{col 22}{res}{space 2}  3.67411{col 34}{space 2} .5471149{col 62}{space 4} 2.601785{col 75}{space 3} 4.746436
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.                 
.         *Model 2  
.         ologit football_opening_cat $controls_1 if wave==1, robust

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-701.04716}  
Iteration 1:{space 3}log pseudolikelihood = {res: -599.9537}  
Iteration 2:{space 3}log pseudolikelihood = {res:-591.78326}  
Iteration 3:{space 3}log pseudolikelihood = {res:-591.75494}  
Iteration 4:{space 3}log pseudolikelihood = {res:-591.75494}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}       963
{txt}{col 49}Wald chi2({res}10{txt}){col 67}= {res}    201.46
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-591.75494{txt}{col 49}Pseudo R2{col 67}= {res}    0.1559

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}football_opening_cat{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 17}age {c |}{col 22}{res}{space 2} -.005326{col 34}{space 2} .0061085{col 45}{space 1}   -0.87{col 54}{space 3}0.383{col 62}{space 4}-.0172985{col 75}{space 3} .0066465
{txt}{space 16}male {c |}{col 22}{res}{space 2} .1537749{col 34}{space 2} .1763693{col 45}{space 1}    0.87{col 54}{space 3}0.383{col 62}{space 4}-.1919027{col 75}{space 3} .4994525
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} .2067594{col 34}{space 2} .1116858{col 45}{space 1}    1.85{col 54}{space 3}0.064{col 62}{space 4}-.0121408{col 75}{space 3} .4256597
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .3723671{col 34}{space 2}  .232494{col 45}{space 1}    1.60{col 54}{space 3}0.109{col 62}{space 4}-.0833127{col 75}{space 3}  .828047
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .3608655{col 34}{space 2} .1119025{col 45}{space 1}    3.22{col 54}{space 3}0.001{col 62}{space 4} .1415407{col 75}{space 3} .5801903
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.0689137{col 34}{space 2} .0474958{col 45}{space 1}   -1.45{col 54}{space 3}0.147{col 62}{space 4}-.1620037{col 75}{space 3} .0241763
{txt}football_consumption {c |}{col 22}{res}{space 2} .7901801{col 34}{space 2} .0706355{col 45}{space 1}   11.19{col 54}{space 3}0.000{col 62}{space 4} .6517371{col 75}{space 3} .9286232
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}-.1293128{col 34}{space 2}  .094237{col 45}{space 1}   -1.37{col 54}{space 3}0.170{col 62}{space 4} -.314014{col 75}{space 3} .0553883
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2}  .375231{col 34}{space 2} .2115853{col 45}{space 1}    1.77{col 54}{space 3}0.076{col 62}{space 4}-.0394685{col 75}{space 3} .7899306
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .3133852{col 34}{space 2} .0935371{col 45}{space 1}    3.35{col 54}{space 3}0.001{col 62}{space 4} .1300558{col 75}{space 3} .4967146
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}/cut1 {c |}{col 22}{res}{space 2} 4.510236{col 34}{space 2} .5863313{col 62}{space 4} 3.361048{col 75}{space 3} 5.659424
{txt}{space 15}/cut2 {c |}{col 22}{res}{space 2} 5.932304{col 34}{space 2}  .599552{col 62}{space 4} 4.757204{col 75}{space 3} 7.107404
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.         
.         
.         ****************************************************************************
.         *Table A.6.7. Ordered logistic regressions: World Cup start and change of opinions about Qatar
.         ****************************************************************************    
.         
.         *Control variables
.         #delimit ;
{txt}delimiter now ;
{com}.         global controls_2 = "
>                                                  age
>                                                  male 
>                                                  education3 
>                                                  mig_backg 
>                                                  pol_interest 
>                                                  pol_left_right 
>                                                  football_consumption 
>                                                  football_reports
>                                                  born_gdr
>                                                  world_regions_russia
>                                                  "
>         ;
{txt}
{com}.         #delimit cr
{txt}delimiter now cr
{com}.                 
.         *Dependent variables
.         #delimit ;
{txt}delimiter now ;
{com}.         tokenize                           "
>                                                    qatar_statements_1_influence 
>                                                    qatar_statements_1_aggro
>                                                    qatar_statements_1_tech
>                                                    qatar_statements_1_orga 
>                                                    qatar_statements_1_travel
>                                                    qat_state_2_worker
>                                                    qat_state_2_women
>                                                    qat_state_2_lgbt
>                                                    ";
{txt}
{com}.         #delimit cr     
{txt}delimiter now cr
{com}.         
.         *Models 1-8
.         forval j=1/8  {c -(} 
{txt}  2{com}.         tab ``j''
{txt}  3{com}.         
.         ologit ``j'' wave $controls_2 , robust
{txt}  4{com}.                 
.         {c )-}               

           {txt}Qatar: {c |}
  Internationally {c |}
      influential {c |}      Freq.     Percent        Cum.
{hline 18}{c +}{hline 35}
strongly disagree {c |}{res}        163        8.15        8.15
{txt}         disagree {c |}{res}        385       19.26       27.41
{txt}      neither nor {c |}{res}        766       38.32       65.73
{txt}            agree {c |}{res}        532       26.61       92.35
{txt}    stronly agree {c |}{res}        153        7.65      100.00
{txt}{hline 18}{c +}{hline 35}
            Total {c |}{res}      1,999      100.00

{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2764.3484}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2719.9327}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2719.7653}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2719.7653}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}     1,923
{txt}{col 49}Wald chi2({res}11{txt}){col 67}= {res}     85.06
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-2719.7653{txt}{col 49}Pseudo R2{col 67}= {res}    0.0161

{txt}{hline 29}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 30}{c |}{col 42}    Robust
{col 1}qatar_statements_1_influence{col 30}{c |}      Coef.{col 42}   Std. Err.{col 54}      z{col 62}   P>|z|{col 70}     [95% Con{col 83}f. Interval]
{hline 29}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 24}wave {c |}{col 30}{res}{space 2} -.061267{col 42}{space 2} .0845947{col 53}{space 1}   -0.72{col 62}{space 3}0.469{col 70}{space 4}-.2270695{col 83}{space 3} .1045356
{txt}{space 25}age {c |}{col 30}{res}{space 2}  .003741{col 42}{space 2} .0031184{col 53}{space 1}    1.20{col 62}{space 3}0.230{col 70}{space 4}-.0023709{col 83}{space 3}  .009853
{txt}{space 24}male {c |}{col 30}{res}{space 2}-.0264373{col 42}{space 2} .0878797{col 53}{space 1}   -0.30{col 62}{space 3}0.764{col 70}{space 4}-.1986785{col 83}{space 3} .1458038
{txt}{space 18}education3 {c |}{col 30}{res}{space 2} .0821156{col 42}{space 2} .0562678{col 53}{space 1}    1.46{col 62}{space 3}0.144{col 70}{space 4}-.0281673{col 83}{space 3} .1923986
{txt}{space 19}mig_backg {c |}{col 30}{res}{space 2} .1630347{col 42}{space 2}  .132303{col 53}{space 1}    1.23{col 62}{space 3}0.218{col 70}{space 4}-.0962745{col 83}{space 3} .4223439
{txt}{space 16}pol_interest {c |}{col 30}{res}{space 2}  .202405{col 42}{space 2} .0578402{col 53}{space 1}    3.50{col 62}{space 3}0.000{col 70}{space 4} .0890404{col 83}{space 3} .3157697
{txt}{space 14}pol_left_right {c |}{col 30}{res}{space 2}-.0072414{col 42}{space 2} .0247568{col 53}{space 1}   -0.29{col 62}{space 3}0.770{col 70}{space 4}-.0557638{col 83}{space 3} .0412811
{txt}{space 8}football_consumption {c |}{col 30}{res}{space 2} .0770414{col 42}{space 2} .0400493{col 53}{space 1}    1.92{col 62}{space 3}0.054{col 70}{space 4}-.0014538{col 83}{space 3} .1555367
{txt}{space 12}football_reports {c |}{col 30}{res}{space 2} .1768372{col 42}{space 2} .0529126{col 53}{space 1}    3.34{col 62}{space 3}0.001{col 70}{space 4} .0731304{col 83}{space 3}  .280544
{txt}{space 20}born_gdr {c |}{col 30}{res}{space 2} .1969908{col 42}{space 2} .1081718{col 53}{space 1}    1.82{col 62}{space 3}0.069{col 70}{space 4} -.015022{col 83}{space 3} .4090037
{txt}{space 8}world_regions_russia {c |}{col 30}{res}{space 2} .2026057{col 42}{space 2} .0524016{col 53}{space 1}    3.87{col 62}{space 3}0.000{col 70}{space 4} .0999004{col 83}{space 3} .3053109
{txt}{hline 29}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 23}/cut1 {c |}{col 30}{res}{space 2}-.6417648{col 42}{space 2} .3104801{col 70}{space 4}-1.250295{col 83}{space 3}-.0332351
{txt}{space 23}/cut2 {c |}{col 30}{res}{space 2} .8263187{col 42}{space 2} .3016849{col 70}{space 4} .2350272{col 83}{space 3}  1.41761
{txt}{space 23}/cut3 {c |}{col 30}{res}{space 2} 2.500497{col 42}{space 2} .3070492{col 70}{space 4} 1.898692{col 83}{space 3} 3.102303
{txt}{space 23}/cut4 {c |}{col 30}{res}{space 2} 4.401417{col 42}{space 2} .3227981{col 70}{space 4} 3.768744{col 83}{space 3}  5.03409
{txt}{hline 29}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

Qatar: Aggressive {c |}
          country {c |}      Freq.     Percent        Cum.
{hline 18}{c +}{hline 35}
strongly disagree {c |}{res}        121        6.05        6.05
{txt}         disagree {c |}{res}        296       14.81       20.86
{txt}      neither nor {c |}{res}        698       34.92       55.78
{txt}            agree {c |}{res}        607       30.37       86.14
{txt}    stronly agree {c |}{res}        277       13.86      100.00
{txt}{hline 18}{c +}{hline 35}
            Total {c |}{res}      1,999      100.00

{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2794.1925}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2757.2323}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2757.1153}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2757.1153}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}     1,923
{txt}{col 49}Wald chi2({res}11{txt}){col 67}= {res}     63.67
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-2757.1153{txt}{col 49}Pseudo R2{col 67}= {res}    0.0133

{txt}{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}qatar_statements_1_aggro{col 26}{c |}      Coef.{col 38}   Std. Err.{col 50}      z{col 58}   P>|z|{col 66}     [95% Con{col 79}f. Interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}wave {c |}{col 26}{res}{space 2} -.113856{col 38}{space 2} .0829881{col 49}{space 1}   -1.37{col 58}{space 3}0.170{col 66}{space 4}-.2765097{col 79}{space 3} .0487977
{txt}{space 21}age {c |}{col 26}{res}{space 2}-.0037513{col 38}{space 2} .0031144{col 49}{space 1}   -1.20{col 58}{space 3}0.228{col 66}{space 4}-.0098554{col 79}{space 3} .0023528
{txt}{space 20}male {c |}{col 26}{res}{space 2}-.2802913{col 38}{space 2} .0887359{col 49}{space 1}   -3.16{col 58}{space 3}0.002{col 66}{space 4}-.4542105{col 79}{space 3}-.1063722
{txt}{space 14}education3 {c |}{col 26}{res}{space 2}-.1133246{col 38}{space 2} .0559653{col 49}{space 1}   -2.02{col 58}{space 3}0.043{col 66}{space 4}-.2230146{col 79}{space 3}-.0036346
{txt}{space 15}mig_backg {c |}{col 26}{res}{space 2}-.0198268{col 38}{space 2} .1266931{col 49}{space 1}   -0.16{col 58}{space 3}0.876{col 66}{space 4}-.2681407{col 79}{space 3} .2284871
{txt}{space 12}pol_interest {c |}{col 26}{res}{space 2} .0067618{col 38}{space 2} .0561222{col 49}{space 1}    0.12{col 58}{space 3}0.904{col 66}{space 4}-.1032358{col 79}{space 3} .1167593
{txt}{space 10}pol_left_right {c |}{col 26}{res}{space 2}-.0250702{col 38}{space 2} .0259098{col 49}{space 1}   -0.97{col 58}{space 3}0.333{col 66}{space 4}-.0758525{col 79}{space 3} .0257121
{txt}{space 4}football_consumption {c |}{col 26}{res}{space 2}-.1085698{col 38}{space 2} .0392126{col 49}{space 1}   -2.77{col 58}{space 3}0.006{col 66}{space 4}-.1854251{col 79}{space 3}-.0317145
{txt}{space 8}football_reports {c |}{col 26}{res}{space 2} .2284092{col 38}{space 2} .0525062{col 49}{space 1}    4.35{col 58}{space 3}0.000{col 66}{space 4} .1254989{col 79}{space 3} .3313195
{txt}{space 16}born_gdr {c |}{col 26}{res}{space 2}-.1850291{col 38}{space 2} .1119112{col 49}{space 1}   -1.65{col 58}{space 3}0.098{col 66}{space 4}-.4043711{col 79}{space 3} .0343129
{txt}{space 4}world_regions_russia {c |}{col 26}{res}{space 2}-.2286991{col 38}{space 2} .0564893{col 49}{space 1}   -4.05{col 58}{space 3}0.000{col 66}{space 4}-.3394161{col 79}{space 3}-.1179821
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 19}/cut1 {c |}{col 26}{res}{space 2} -3.71648{col 38}{space 2} .3395312{col 66}{space 4}-4.381949{col 79}{space 3}-3.051011
{txt}{space 19}/cut2 {c |}{col 26}{res}{space 2}-2.265085{col 38}{space 2} .3203361{col 66}{space 4}-2.892932{col 79}{space 3}-1.637238
{txt}{space 19}/cut3 {c |}{col 26}{res}{space 2}-.6524073{col 38}{space 2} .3159084{col 66}{space 4}-1.271576{col 79}{space 3}-.0332382
{txt}{space 19}/cut4 {c |}{col 26}{res}{space 2} .9941031{col 38}{space 2} .3180978{col 66}{space 4} .3706428{col 79}{space 3} 1.617563
{txt}{hline 25}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

           Qatar: {c |}
  Technologically {c |}
          leading {c |}      Freq.     Percent        Cum.
{hline 18}{c +}{hline 35}
strongly disagree {c |}{res}        289       14.46       14.46
{txt}         disagree {c |}{res}        561       28.06       42.52
{txt}      neither nor {c |}{res}        807       40.37       82.89
{txt}            agree {c |}{res}        270       13.51       96.40
{txt}    stronly agree {c |}{res}         72        3.60      100.00
{txt}{hline 18}{c +}{hline 35}
            Total {c |}{res}      1,999      100.00

{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2667.9286}  
Iteration 1:{space 3}log pseudolikelihood = {res: -2621.131}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2620.9073}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2620.9072}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}     1,922
{txt}{col 49}Wald chi2({res}11{txt}){col 67}= {res}     87.54
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-2620.9072{txt}{col 49}Pseudo R2{col 67}= {res}    0.0176

{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}qatar_statements_1_tech{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      z{col 57}   P>|z|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 19}wave {c |}{col 25}{res}{space 2}-.1536077{col 37}{space 2} .0849179{col 48}{space 1}   -1.81{col 57}{space 3}0.070{col 65}{space 4}-.3200438{col 78}{space 3} .0128284
{txt}{space 20}age {c |}{col 25}{res}{space 2} -.001635{col 37}{space 2} .0030779{col 48}{space 1}   -0.53{col 57}{space 3}0.595{col 65}{space 4}-.0076675{col 78}{space 3} .0043976
{txt}{space 19}male {c |}{col 25}{res}{space 2}-.4009449{col 37}{space 2}  .090145{col 48}{space 1}   -4.45{col 57}{space 3}0.000{col 65}{space 4}-.5776258{col 78}{space 3}-.2242639
{txt}{space 13}education3 {c |}{col 25}{res}{space 2}-.0562134{col 37}{space 2} .0570889{col 48}{space 1}   -0.98{col 57}{space 3}0.325{col 65}{space 4}-.1681055{col 78}{space 3} .0556788
{txt}{space 14}mig_backg {c |}{col 25}{res}{space 2} .0328985{col 37}{space 2} .1336937{col 48}{space 1}    0.25{col 57}{space 3}0.806{col 65}{space 4}-.2291364{col 78}{space 3} .2949333
{txt}{space 11}pol_interest {c |}{col 25}{res}{space 2}  .142853{col 37}{space 2} .0564844{col 48}{space 1}    2.53{col 57}{space 3}0.011{col 65}{space 4} .0321457{col 78}{space 3} .2535603
{txt}{space 9}pol_left_right {c |}{col 25}{res}{space 2}-.0181942{col 37}{space 2}   .02708{col 48}{space 1}   -0.67{col 57}{space 3}0.502{col 65}{space 4}  -.07127{col 78}{space 3} .0348817
{txt}{space 3}football_consumption {c |}{col 25}{res}{space 2} .0992255{col 37}{space 2} .0398648{col 48}{space 1}    2.49{col 57}{space 3}0.013{col 65}{space 4} .0210919{col 78}{space 3} .1773591
{txt}{space 7}football_reports {c |}{col 25}{res}{space 2} -.015226{col 37}{space 2} .0533632{col 48}{space 1}   -0.29{col 57}{space 3}0.775{col 65}{space 4} -.119816{col 78}{space 3}  .089364
{txt}{space 15}born_gdr {c |}{col 25}{res}{space 2} .3650769{col 37}{space 2} .1128699{col 48}{space 1}    3.23{col 57}{space 3}0.001{col 65}{space 4}  .143856{col 78}{space 3} .5862977
{txt}{space 3}world_regions_russia {c |}{col 25}{res}{space 2} .3329385{col 37}{space 2} .0554217{col 48}{space 1}    6.01{col 57}{space 3}0.000{col 65}{space 4} .2243139{col 78}{space 3} .4415631
{txt}{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 18}/cut1 {c |}{col 25}{res}{space 2}-1.141553{col 37}{space 2} .3145126{col 65}{space 4}-1.757987{col 78}{space 3}-.5251199
{txt}{space 18}/cut2 {c |}{col 25}{res}{space 2} .3770552{col 37}{space 2} .3080426{col 65}{space 4}-.2266972{col 78}{space 3} .9808076
{txt}{space 18}/cut3 {c |}{col 25}{res}{space 2} 2.342358{col 37}{space 2} .3095043{col 65}{space 4} 1.735741{col 78}{space 3} 2.948975
{txt}{space 18}/cut4 {c |}{col 25}{res}{space 2} 4.067937{col 37}{space 2} .3272799{col 65}{space 4}  3.42648{col 78}{space 3} 4.709394
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

      Qatar: Well {c |}
        organized {c |}      Freq.     Percent        Cum.
{hline 18}{c +}{hline 35}
strongly disagree {c |}{res}        257       12.83       12.83
{txt}         disagree {c |}{res}        386       19.27       32.10
{txt}      neither nor {c |}{res}        806       40.24       72.34
{txt}            agree {c |}{res}        449       22.42       94.76
{txt}    stronly agree {c |}{res}        105        5.24      100.00
{txt}{hline 18}{c +}{hline 35}
            Total {c |}{res}      2,003      100.00

{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2766.6266}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2667.4436}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2666.5231}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2666.5224}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2666.5224}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}     1,926
{txt}{col 49}Wald chi2({res}11{txt}){col 67}= {res}    184.81
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-2666.5224{txt}{col 49}Pseudo R2{col 67}= {res}    0.0362

{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}qatar_statements_1_orga{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      z{col 57}   P>|z|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 19}wave {c |}{col 25}{res}{space 2} .0278956{col 37}{space 2} .0842883{col 48}{space 1}    0.33{col 57}{space 3}0.741{col 65}{space 4}-.1373063{col 78}{space 3} .1930976
{txt}{space 20}age {c |}{col 25}{res}{space 2} .0142886{col 37}{space 2} .0030576{col 48}{space 1}    4.67{col 57}{space 3}0.000{col 65}{space 4} .0082958{col 78}{space 3} .0202814
{txt}{space 19}male {c |}{col 25}{res}{space 2} .3536901{col 37}{space 2}  .090645{col 48}{space 1}    3.90{col 57}{space 3}0.000{col 65}{space 4} .1760291{col 78}{space 3} .5313511
{txt}{space 13}education3 {c |}{col 25}{res}{space 2} .2264624{col 37}{space 2} .0577142{col 48}{space 1}    3.92{col 57}{space 3}0.000{col 65}{space 4} .1133447{col 78}{space 3} .3395802
{txt}{space 14}mig_backg {c |}{col 25}{res}{space 2}   .12783{col 37}{space 2} .1298091{col 48}{space 1}    0.98{col 57}{space 3}0.325{col 65}{space 4}-.1265911{col 78}{space 3} .3822511
{txt}{space 11}pol_interest {c |}{col 25}{res}{space 2} .3375116{col 37}{space 2} .0582933{col 48}{space 1}    5.79{col 57}{space 3}0.000{col 65}{space 4} .2232588{col 78}{space 3} .4517644
{txt}{space 9}pol_left_right {c |}{col 25}{res}{space 2}  .030256{col 37}{space 2} .0265007{col 48}{space 1}    1.14{col 57}{space 3}0.254{col 65}{space 4}-.0216844{col 78}{space 3} .0821964
{txt}{space 3}football_consumption {c |}{col 25}{res}{space 2}-.0034697{col 37}{space 2} .0392481{col 48}{space 1}   -0.09{col 57}{space 3}0.930{col 65}{space 4}-.0803945{col 78}{space 3} .0734552
{txt}{space 7}football_reports {c |}{col 25}{res}{space 2} .0351087{col 37}{space 2} .0528817{col 48}{space 1}    0.66{col 57}{space 3}0.507{col 65}{space 4}-.0685377{col 78}{space 3}  .138755
{txt}{space 15}born_gdr {c |}{col 25}{res}{space 2}  .263684{col 37}{space 2} .1109925{col 48}{space 1}    2.38{col 57}{space 3}0.018{col 65}{space 4} .0461426{col 78}{space 3} .4812254
{txt}{space 3}world_regions_russia {c |}{col 25}{res}{space 2} .3546784{col 37}{space 2} .0523485{col 48}{space 1}    6.78{col 57}{space 3}0.000{col 65}{space 4} .2520771{col 78}{space 3} .4572796
{txt}{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 18}/cut1 {c |}{col 25}{res}{space 2} 1.127934{col 37}{space 2}  .310031{col 65}{space 4} .5202843{col 78}{space 3} 1.735584
{txt}{space 18}/cut2 {c |}{col 25}{res}{space 2} 2.358786{col 37}{space 2} .3110829{col 65}{space 4} 1.749075{col 78}{space 3} 2.968497
{txt}{space 18}/cut3 {c |}{col 25}{res}{space 2} 4.208717{col 37}{space 2} .3215957{col 65}{space 4} 3.578401{col 78}{space 3} 4.839033
{txt}{space 18}/cut4 {c |}{col 25}{res}{space 2} 6.236234{col 37}{space 2} .3390215{col 65}{space 4} 5.571764{col 78}{space 3} 6.900704
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

Qatar: Attractive {c |}
           travel {c |}
      destination {c |}      Freq.     Percent        Cum.
{hline 18}{c +}{hline 35}
strongly disagree {c |}{res}        586       29.30       29.30
{txt}         disagree {c |}{res}        520       26.00       55.30
{txt}      neither nor {c |}{res}        582       29.10       84.40
{txt}            agree {c |}{res}        226       11.30       95.70
{txt}    stronly agree {c |}{res}         86        4.30      100.00
{txt}{hline 18}{c +}{hline 35}
            Total {c |}{res}      2,000      100.00

{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2784.1692}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2705.8149}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2705.4088}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2705.4086}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}     1,923
{txt}{col 49}Wald chi2({res}11{txt}){col 67}= {res}    133.44
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-2705.4086{txt}{col 49}Pseudo R2{col 67}= {res}    0.0283

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}qatar_statements_1_travel{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      z{col 59}   P>|z|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 21}wave {c |}{col 27}{res}{space 2}-.0793485{col 39}{space 2} .0830531{col 50}{space 1}   -0.96{col 59}{space 3}0.339{col 67}{space 4}-.2421296{col 80}{space 3} .0834326
{txt}{space 22}age {c |}{col 27}{res}{space 2} .0021329{col 39}{space 2}  .003077{col 50}{space 1}    0.69{col 59}{space 3}0.488{col 67}{space 4}-.0038979{col 80}{space 3} .0081638
{txt}{space 21}male {c |}{col 27}{res}{space 2} .1824723{col 39}{space 2} .0877939{col 50}{space 1}    2.08{col 59}{space 3}0.038{col 67}{space 4} .0103994{col 80}{space 3} .3545452
{txt}{space 15}education3 {c |}{col 27}{res}{space 2}-.0903255{col 39}{space 2} .0546198{col 50}{space 1}   -1.65{col 59}{space 3}0.098{col 67}{space 4}-.1973783{col 80}{space 3} .0167273
{txt}{space 16}mig_backg {c |}{col 27}{res}{space 2} .1478486{col 39}{space 2} .1312922{col 50}{space 1}    1.13{col 59}{space 3}0.260{col 67}{space 4}-.1094794{col 80}{space 3} .4051766
{txt}{space 13}pol_interest {c |}{col 27}{res}{space 2} .0895137{col 39}{space 2} .0564991{col 50}{space 1}    1.58{col 59}{space 3}0.113{col 67}{space 4}-.0212226{col 80}{space 3}   .20025
{txt}{space 11}pol_left_right {c |}{col 27}{res}{space 2} .0025416{col 39}{space 2} .0265332{col 50}{space 1}    0.10{col 59}{space 3}0.924{col 67}{space 4}-.0494624{col 80}{space 3} .0545457
{txt}{space 5}football_consumption {c |}{col 27}{res}{space 2} .1755316{col 39}{space 2} .0391774{col 50}{space 1}    4.48{col 59}{space 3}0.000{col 67}{space 4} .0987454{col 80}{space 3} .2523178
{txt}{space 9}football_reports {c |}{col 27}{res}{space 2}-.2076385{col 39}{space 2} .0514718{col 50}{space 1}   -4.03{col 59}{space 3}0.000{col 67}{space 4}-.3085213{col 80}{space 3}-.1067556
{txt}{space 17}born_gdr {c |}{col 27}{res}{space 2} .3163923{col 39}{space 2} .1093747{col 50}{space 1}    2.89{col 59}{space 3}0.004{col 67}{space 4} .1020218{col 80}{space 3} .5307628
{txt}{space 5}world_regions_russia {c |}{col 27}{res}{space 2} .4458049{col 39}{space 2} .0570992{col 50}{space 1}    7.81{col 59}{space 3}0.000{col 67}{space 4} .3338926{col 80}{space 3} .5577173
{txt}{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}/cut1 {c |}{col 27}{res}{space 2} .0815367{col 39}{space 2} .3102769{col 67}{space 4}-.5265949{col 80}{space 3} .6896683
{txt}{space 20}/cut2 {c |}{col 27}{res}{space 2} 1.252482{col 39}{space 2} .3110485{col 67}{space 4} .6428387{col 80}{space 3} 1.862126
{txt}{space 20}/cut3 {c |}{col 27}{res}{space 2} 2.816703{col 39}{space 2} .3151185{col 67}{space 4} 2.199082{col 80}{space 3} 3.434324
{txt}{space 20}/cut4 {c |}{col 27}{res}{space 2} 4.297981{col 39}{space 2} .3249715{col 67}{space 4} 3.661048{col 80}{space 3} 4.934913
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

       Qatar: Bad {c |}
      country for {c |}
  migrant workers {c |}      Freq.     Percent        Cum.
{hline 18}{c +}{hline 35}
strongly disagree {c |}{res}         45        2.26        2.26
{txt}         disagree {c |}{res}         88        4.42        6.68
{txt}      neither nor {c |}{res}        462       23.19       29.87
{txt}            agree {c |}{res}        504       25.30       55.17
{txt}    stronly agree {c |}{res}        893       44.83      100.00
{txt}{hline 18}{c +}{hline 35}
            Total {c |}{res}      1,992      100.00

{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2422.8798}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2240.9156}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2238.8917}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2238.8877}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2238.8877}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}     1,918
{txt}{col 49}Wald chi2({res}11{txt}){col 67}= {res}    331.02
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-2238.8877{txt}{col 49}Pseudo R2{col 67}= {res}    0.0759

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}  qat_state_2_worker{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.0204216{col 34}{space 2} .0876251{col 45}{space 1}   -0.23{col 54}{space 3}0.816{col 62}{space 4}-.1921637{col 75}{space 3} .1513205
{txt}{space 17}age {c |}{col 22}{res}{space 2} .0215619{col 34}{space 2} .0033064{col 45}{space 1}    6.52{col 54}{space 3}0.000{col 62}{space 4} .0150815{col 75}{space 3} .0280424
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.0236459{col 34}{space 2} .0926764{col 45}{space 1}   -0.26{col 54}{space 3}0.799{col 62}{space 4}-.2052884{col 75}{space 3} .1579966
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} .1380776{col 34}{space 2} .0601199{col 45}{space 1}    2.30{col 54}{space 3}0.022{col 62}{space 4} .0202448{col 75}{space 3} .2559104
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2}   .00764{col 34}{space 2}  .135999{col 45}{space 1}    0.06{col 54}{space 3}0.955{col 62}{space 4}-.2589131{col 75}{space 3} .2741931
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2}   .22184{col 34}{space 2} .0598266{col 45}{space 1}    3.71{col 54}{space 3}0.000{col 62}{space 4} .1045821{col 75}{space 3} .3390979
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.1542954{col 34}{space 2} .0256578{col 45}{space 1}   -6.01{col 54}{space 3}0.000{col 62}{space 4}-.2045839{col 75}{space 3} -.104007
{txt}football_consumption {c |}{col 22}{res}{space 2}-.1020481{col 34}{space 2} .0403269{col 45}{space 1}   -2.53{col 54}{space 3}0.011{col 62}{space 4}-.1810873{col 75}{space 3}-.0230088
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}  .499269{col 34}{space 2} .0575985{col 45}{space 1}    8.67{col 54}{space 3}0.000{col 62}{space 4}  .386378{col 75}{space 3}   .61216
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2}-.3128846{col 34}{space 2}  .113831{col 45}{space 1}   -2.75{col 54}{space 3}0.006{col 62}{space 4}-.5359892{col 75}{space 3}  -.08978
{txt}world_regions_russia {c |}{col 22}{res}{space 2}-.4876145{col 34}{space 2} .0556585{col 45}{space 1}   -8.76{col 54}{space 3}0.000{col 62}{space 4}-.5967032{col 75}{space 3}-.3785259
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}/cut1 {c |}{col 22}{res}{space 2}-3.183193{col 34}{space 2} .3576061{col 62}{space 4}-3.884088{col 75}{space 3}-2.482298
{txt}{space 15}/cut2 {c |}{col 22}{res}{space 2}-2.032839{col 34}{space 2}  .329557{col 62}{space 4}-2.678759{col 75}{space 3}-1.386919
{txt}{space 15}/cut3 {c |}{col 22}{res}{space 2}-.0269709{col 34}{space 2} .3197208{col 62}{space 4}-.6536121{col 75}{space 3} .5996703
{txt}{space 15}/cut4 {c |}{col 22}{res}{space 2} 1.229983{col 34}{space 2} .3208788{col 62}{space 4}  .601072{col 75}{space 3} 1.858894
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

  Qatar: Treating {c |}
         women as {c |}
     second-class {c |}
         citizens {c |}      Freq.     Percent        Cum.
{hline 18}{c +}{hline 35}
strongly disagree {c |}{res}         49        2.45        2.45
{txt}         disagree {c |}{res}         94        4.71        7.16
{txt}      neither nor {c |}{res}        385       19.28       26.44
{txt}            agree {c |}{res}        635       31.80       58.24
{txt}    stronly agree {c |}{res}        834       41.76      100.00
{txt}{hline 18}{c +}{hline 35}
            Total {c |}{res}      1,997      100.00

{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2452.1172}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2327.0616}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2326.1671}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2326.1663}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2326.1663}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}     1,920
{txt}{col 49}Wald chi2({res}11{txt}){col 67}= {res}    228.57
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-2326.1663{txt}{col 49}Pseudo R2{col 67}= {res}    0.0514

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}   qat_state_2_women{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.1880369{col 34}{space 2} .0863796{col 45}{space 1}   -2.18{col 54}{space 3}0.029{col 62}{space 4}-.3573378{col 75}{space 3}-.0187361
{txt}{space 17}age {c |}{col 22}{res}{space 2} .0182701{col 34}{space 2} .0032944{col 45}{space 1}    5.55{col 54}{space 3}0.000{col 62}{space 4} .0118131{col 75}{space 3} .0247271
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.2511673{col 34}{space 2} .0919654{col 45}{space 1}   -2.73{col 54}{space 3}0.006{col 62}{space 4}-.4314162{col 75}{space 3}-.0709184
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}-.0004476{col 34}{space 2} .0598358{col 45}{space 1}   -0.01{col 54}{space 3}0.994{col 62}{space 4}-.1177235{col 75}{space 3} .1168284
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .0098896{col 34}{space 2} .1339229{col 45}{space 1}    0.07{col 54}{space 3}0.941{col 62}{space 4}-.2525945{col 75}{space 3} .2723736
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0427545{col 34}{space 2}  .059885{col 45}{space 1}    0.71{col 54}{space 3}0.475{col 62}{space 4}-.0746179{col 75}{space 3} .1601269
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.0856591{col 34}{space 2} .0263218{col 45}{space 1}   -3.25{col 54}{space 3}0.001{col 62}{space 4}-.1372489{col 75}{space 3}-.0340694
{txt}football_consumption {c |}{col 22}{res}{space 2}-.1665295{col 34}{space 2} .0397621{col 45}{space 1}   -4.19{col 54}{space 3}0.000{col 62}{space 4}-.2444618{col 75}{space 3}-.0885972
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}  .381765{col 34}{space 2} .0557948{col 45}{space 1}    6.84{col 54}{space 3}0.000{col 62}{space 4} .2724093{col 75}{space 3} .4911207
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2}-.1844025{col 34}{space 2} .1182247{col 45}{space 1}   -1.56{col 54}{space 3}0.119{col 62}{space 4}-.4161186{col 75}{space 3} .0473135
{txt}world_regions_russia {c |}{col 22}{res}{space 2}-.4639794{col 34}{space 2} .0557366{col 45}{space 1}   -8.32{col 54}{space 3}0.000{col 62}{space 4}-.5732213{col 75}{space 3}-.3547376
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}/cut1 {c |}{col 22}{res}{space 2}-4.138121{col 34}{space 2} .3607952{col 62}{space 4}-4.845267{col 75}{space 3}-3.430976
{txt}{space 15}/cut2 {c |}{col 22}{res}{space 2}-2.932825{col 34}{space 2} .3328716{col 62}{space 4}-3.585241{col 75}{space 3}-2.280408
{txt}{space 15}/cut3 {c |}{col 22}{res}{space 2}-1.239322{col 34}{space 2} .3215938{col 62}{space 4}-1.869634{col 75}{space 3}-.6090097
{txt}{space 15}/cut4 {c |}{col 22}{res}{space 2}  .246842{col 34}{space 2} .3188761{col 62}{space 4}-.3781436{col 75}{space 3} .8718276
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

 Qatar: Dangerous {c |}
 country for gays {c |}
     and lesbians {c |}      Freq.     Percent        Cum.
{hline 18}{c +}{hline 35}
strongly disagree {c |}{res}         45        2.26        2.26
{txt}         disagree {c |}{res}         63        3.16        5.42
{txt}      neither nor {c |}{res}        278       13.95       19.37
{txt}            agree {c |}{res}        419       21.02       40.39
{txt}    stronly agree {c |}{res}      1,188       59.61      100.00
{txt}{hline 18}{c +}{hline 35}
            Total {c |}{res}      1,993      100.00

{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2102.0388}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1962.7943}  
Iteration 2:{space 3}log pseudolikelihood = {res: -1960.131}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1960.1276}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1960.1276}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}     1,918
{txt}{col 49}Wald chi2({res}11{txt}){col 67}= {res}    273.71
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-1960.1276{txt}{col 49}Pseudo R2{col 67}= {res}    0.0675

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}    qat_state_2_lgbt{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.0726399{col 34}{space 2} .0946064{col 45}{space 1}   -0.77{col 54}{space 3}0.443{col 62}{space 4}-.2580651{col 75}{space 3} .1127853
{txt}{space 17}age {c |}{col 22}{res}{space 2}  .024317{col 34}{space 2} .0035784{col 45}{space 1}    6.80{col 54}{space 3}0.000{col 62}{space 4} .0173034{col 75}{space 3} .0313305
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.2080068{col 34}{space 2} .1010788{col 45}{space 1}   -2.06{col 54}{space 3}0.040{col 62}{space 4}-.4061177{col 75}{space 3} -.009896
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} .0585451{col 34}{space 2} .0674185{col 45}{space 1}    0.87{col 54}{space 3}0.385{col 62}{space 4}-.0735926{col 75}{space 3} .1906829
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .0887933{col 34}{space 2} .1478396{col 45}{space 1}    0.60{col 54}{space 3}0.548{col 62}{space 4}-.2009669{col 75}{space 3} .3785535
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .1107942{col 34}{space 2} .0621245{col 45}{space 1}    1.78{col 54}{space 3}0.075{col 62}{space 4}-.0109675{col 75}{space 3} .2325559
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.0747953{col 34}{space 2} .0271904{col 45}{space 1}   -2.75{col 54}{space 3}0.006{col 62}{space 4}-.1280875{col 75}{space 3}-.0215031
{txt}football_consumption {c |}{col 22}{res}{space 2} -.127976{col 34}{space 2} .0425183{col 45}{space 1}   -3.01{col 54}{space 3}0.003{col 62}{space 4}-.2113104{col 75}{space 3}-.0446416
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2} .5138146{col 34}{space 2} .0628401{col 45}{space 1}    8.18{col 54}{space 3}0.000{col 62}{space 4} .3906503{col 75}{space 3}  .636979
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2}-.3794503{col 34}{space 2} .1183895{col 45}{space 1}   -3.21{col 54}{space 3}0.001{col 62}{space 4}-.6114894{col 75}{space 3}-.1474112
{txt}world_regions_russia {c |}{col 22}{res}{space 2} -.464233{col 34}{space 2} .0564391{col 45}{space 1}   -8.23{col 54}{space 3}0.000{col 62}{space 4}-.5748515{col 75}{space 3}-.3536144
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}/cut1 {c |}{col 22}{res}{space 2}-3.184438{col 34}{space 2} .3943897{col 62}{space 4}-3.957428{col 75}{space 3}-2.411449
{txt}{space 15}/cut2 {c |}{col 22}{res}{space 2}-2.223577{col 34}{space 2} .3625496{col 62}{space 4}-2.934161{col 75}{space 3}-1.512993
{txt}{space 15}/cut3 {c |}{col 22}{res}{space 2}-.6444036{col 34}{space 2} .3540102{col 62}{space 4}-1.338251{col 75}{space 3} .0494437
{txt}{space 15}/cut4 {c |}{col 22}{res}{space 2} .5294148{col 34}{space 2} .3504772{col 62}{space 4} -.157508{col 75}{space 3} 1.216338
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.         
.         
.         ****************************************************************************
.         *Table A.6.8. Ordered logistic regressions: World Cup start and change of opinions about world regions and countries
.         ****************************************************************************    
.         
.                                 
.         *Control variables
.         #delimit ;
{txt}delimiter now ;
{com}.         global controls_3 = "
>                                                  age
>                                                  male
>                                                  education3 
>                                                  mig_backg 
>                                                  pol_interest 
>                                                  pol_left_right 
>                                                  football_consumption 
>                                                  football_reports
>                                                  born_gdr
>                                                  "
>         ;
{txt}
{com}.         #delimit cr     
{txt}delimiter now cr
{com}.                         
.         *Model 1
.         ologit world_regions_arab wave $controls_3 world_regions_russia world_regions_us world_regions_asia world_regions_europe , robust 

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2111.4871}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1829.2872}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1817.2259}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1817.2039}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1817.2039}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}     1,906
{txt}{col 49}Wald chi2({res}14{txt}){col 67}= {res}    446.36
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-1817.2039{txt}{col 49}Pseudo R2{col 67}= {res}    0.1394

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}  world_regions_arab{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2} .2701028{col 34}{space 2} .0915733{col 45}{space 1}    2.95{col 54}{space 3}0.003{col 62}{space 4} .0906225{col 75}{space 3} .4495831
{txt}{space 17}age {c |}{col 22}{res}{space 2} .0021303{col 34}{space 2} .0034332{col 45}{space 1}    0.62{col 54}{space 3}0.535{col 62}{space 4}-.0045985{col 75}{space 3} .0088592
{txt}{space 16}male {c |}{col 22}{res}{space 2} -.060645{col 34}{space 2} .0977408{col 45}{space 1}   -0.62{col 54}{space 3}0.535{col 62}{space 4}-.2522135{col 75}{space 3} .1309236
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} .2679895{col 34}{space 2} .0633101{col 45}{space 1}    4.23{col 54}{space 3}0.000{col 62}{space 4} .1439041{col 75}{space 3}  .392075
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2}-.1751674{col 34}{space 2} .1488818{col 45}{space 1}   -1.18{col 54}{space 3}0.239{col 62}{space 4}-.4669703{col 75}{space 3} .1166355
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2}-.0984249{col 34}{space 2} .0635789{col 45}{space 1}   -1.55{col 54}{space 3}0.122{col 62}{space 4}-.2230373{col 75}{space 3} .0261875
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.1286907{col 34}{space 2} .0293471{col 45}{space 1}   -4.39{col 54}{space 3}0.000{col 62}{space 4}  -.18621{col 75}{space 3}-.0711715
{txt}football_consumption {c |}{col 22}{res}{space 2} .1643877{col 34}{space 2} .0408681{col 45}{space 1}    4.02{col 54}{space 3}0.000{col 62}{space 4} .0842877{col 75}{space 3} .2444876
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}-.1658272{col 34}{space 2} .0570569{col 45}{space 1}   -2.91{col 54}{space 3}0.004{col 62}{space 4}-.2776568{col 75}{space 3}-.0539977
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .0841596{col 34}{space 2} .1286638{col 45}{space 1}    0.65{col 54}{space 3}0.513{col 62}{space 4}-.1680168{col 75}{space 3}  .336336
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .7841004{col 34}{space 2} .0714249{col 45}{space 1}   10.98{col 54}{space 3}0.000{col 62}{space 4} .6441101{col 75}{space 3} .9240906
{txt}{space 4}world_regions_us {c |}{col 22}{res}{space 2} .4129261{col 34}{space 2}  .081593{col 45}{space 1}    5.06{col 54}{space 3}0.000{col 62}{space 4} .2530067{col 75}{space 3} .5728454
{txt}{space 2}world_regions_asia {c |}{col 22}{res}{space 2} .9212735{col 34}{space 2}  .087001{col 45}{space 1}   10.59{col 54}{space 3}0.000{col 62}{space 4} .7507546{col 75}{space 3} 1.091792
{txt}world_regions_europe {c |}{col 22}{res}{space 2}-.1335241{col 34}{space 2} .0898041{col 45}{space 1}   -1.49{col 54}{space 3}0.137{col 62}{space 4}-.3095369{col 75}{space 3} .0424888
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}/cut1 {c |}{col 22}{res}{space 2} 2.890116{col 34}{space 2} .4219831{col 62}{space 4} 2.063044{col 75}{space 3} 3.717187
{txt}{space 15}/cut2 {c |}{col 22}{res}{space 2} 5.823565{col 34}{space 2} .4453995{col 62}{space 4} 4.950598{col 75}{space 3} 6.696532
{txt}{space 15}/cut3 {c |}{col 22}{res}{space 2} 8.479963{col 34}{space 2} .4730412{col 62}{space 4} 7.552819{col 75}{space 3} 9.407107
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.                 
.         *Model 2
.         ologit world_regions_asia wave $controls_3 world_regions_russia world_regions_arab world_regions_us world_regions_europe , robust 

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2042.0602}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1743.5223}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1726.3186}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1726.2494}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1726.2494}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}     1,906
{txt}{col 49}Wald chi2({res}14{txt}){col 67}= {res}    488.12
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-1726.2494{txt}{col 49}Pseudo R2{col 67}= {res}    0.1547

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}  world_regions_asia{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.1130471{col 34}{space 2} .0931586{col 45}{space 1}   -1.21{col 54}{space 3}0.225{col 62}{space 4}-.2956346{col 75}{space 3} .0695404
{txt}{space 17}age {c |}{col 22}{res}{space 2}-.0057367{col 34}{space 2} .0034257{col 45}{space 1}   -1.67{col 54}{space 3}0.094{col 62}{space 4}-.0124509{col 75}{space 3} .0009775
{txt}{space 16}male {c |}{col 22}{res}{space 2} .2894671{col 34}{space 2} .1017318{col 45}{space 1}    2.85{col 54}{space 3}0.004{col 62}{space 4} .0900765{col 75}{space 3} .4888576
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} .0728106{col 34}{space 2} .0653174{col 45}{space 1}    1.11{col 54}{space 3}0.265{col 62}{space 4}-.0552092{col 75}{space 3} .2008304
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .2644339{col 34}{space 2}  .150499{col 45}{space 1}    1.76{col 54}{space 3}0.079{col 62}{space 4}-.0305388{col 75}{space 3} .5594066
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .1129751{col 34}{space 2} .0614132{col 45}{space 1}    1.84{col 54}{space 3}0.066{col 62}{space 4}-.0073927{col 75}{space 3} .2333428
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.0647564{col 34}{space 2} .0278947{col 45}{space 1}   -2.32{col 54}{space 3}0.020{col 62}{space 4}-.1194291{col 75}{space 3}-.0100838
{txt}football_consumption {c |}{col 22}{res}{space 2}-.0911968{col 34}{space 2} .0422451{col 45}{space 1}   -2.16{col 54}{space 3}0.031{col 62}{space 4}-.1739956{col 75}{space 3} -.008398
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2} .0257419{col 34}{space 2} .0568884{col 45}{space 1}    0.45{col 54}{space 3}0.651{col 62}{space 4}-.0857574{col 75}{space 3} .1372411
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .2142094{col 34}{space 2} .1322442{col 45}{space 1}    1.62{col 54}{space 3}0.105{col 62}{space 4}-.0449845{col 75}{space 3} .4734032
{txt}world_regions_russia {c |}{col 22}{res}{space 2}  .630774{col 34}{space 2} .0687954{col 45}{space 1}    9.17{col 54}{space 3}0.000{col 62}{space 4} .4959375{col 75}{space 3} .7656105
{txt}{space 2}world_regions_arab {c |}{col 22}{res}{space 2} .8734586{col 34}{space 2} .0852609{col 45}{space 1}   10.24{col 54}{space 3}0.000{col 62}{space 4} .7063503{col 75}{space 3} 1.040567
{txt}{space 4}world_regions_us {c |}{col 22}{res}{space 2} .4931849{col 34}{space 2} .0800029{col 45}{space 1}    6.16{col 54}{space 3}0.000{col 62}{space 4} .3363821{col 75}{space 3} .6499876
{txt}world_regions_europe {c |}{col 22}{res}{space 2} .6352915{col 34}{space 2} .0871724{col 45}{space 1}    7.29{col 54}{space 3}0.000{col 62}{space 4} .4644368{col 75}{space 3} .8061461
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}/cut1 {c |}{col 22}{res}{space 2} 2.743185{col 34}{space 2}   .40614{col 62}{space 4} 1.947165{col 75}{space 3} 3.539204
{txt}{space 15}/cut2 {c |}{col 22}{res}{space 2} 5.581416{col 34}{space 2} .4226022{col 62}{space 4} 4.753131{col 75}{space 3} 6.409701
{txt}{space 15}/cut3 {c |}{col 22}{res}{space 2} 9.279096{col 34}{space 2} .4703279{col 62}{space 4}  8.35727{col 75}{space 3} 10.20092
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.                 
.         *Model 3
.         ologit world_regions_europe wave $controls_3 world_regions_russia world_regions_arab world_regions_asia world_regions_us , robust 

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1927.0417}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1684.8833}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1669.6889}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1669.6514}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1669.6514}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}     1,906
{txt}{col 49}Wald chi2({res}14{txt}){col 67}= {res}    399.89
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-1669.6514{txt}{col 49}Pseudo R2{col 67}= {res}    0.1336

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}world_regions_europe{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.0386085{col 34}{space 2} .0954173{col 45}{space 1}   -0.40{col 54}{space 3}0.686{col 62}{space 4} -.225623{col 75}{space 3}  .148406
{txt}{space 17}age {c |}{col 22}{res}{space 2} .0136597{col 34}{space 2} .0034792{col 45}{space 1}    3.93{col 54}{space 3}0.000{col 62}{space 4} .0068406{col 75}{space 3} .0204789
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.0550877{col 34}{space 2}  .101283{col 45}{space 1}   -0.54{col 54}{space 3}0.587{col 62}{space 4}-.2535987{col 75}{space 3} .1434233
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} .4537993{col 34}{space 2} .0648159{col 45}{space 1}    7.00{col 54}{space 3}0.000{col 62}{space 4} .3267626{col 75}{space 3} .5808361
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .1223016{col 34}{space 2}    .1473{col 45}{space 1}    0.83{col 54}{space 3}0.406{col 62}{space 4}-.1664011{col 75}{space 3} .4110042
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .3473788{col 34}{space 2} .0651046{col 45}{space 1}    5.34{col 54}{space 3}0.000{col 62}{space 4}  .219776{col 75}{space 3} .4749815
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2} .0060788{col 34}{space 2} .0283334{col 45}{space 1}    0.21{col 54}{space 3}0.830{col 62}{space 4}-.0494537{col 75}{space 3} .0616112
{txt}football_consumption {c |}{col 22}{res}{space 2}-.0317223{col 34}{space 2} .0436943{col 45}{space 1}   -0.73{col 54}{space 3}0.468{col 62}{space 4}-.1173615{col 75}{space 3} .0539169
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2} .2772734{col 34}{space 2} .0590136{col 45}{space 1}    4.70{col 54}{space 3}0.000{col 62}{space 4} .1616089{col 75}{space 3} .3929378
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2}-.4067178{col 34}{space 2} .1205259{col 45}{space 1}   -3.37{col 54}{space 3}0.001{col 62}{space 4}-.6429442{col 75}{space 3}-.1704914
{txt}world_regions_russia {c |}{col 22}{res}{space 2}-.2352504{col 34}{space 2} .0677196{col 45}{space 1}   -3.47{col 54}{space 3}0.001{col 62}{space 4}-.3679783{col 75}{space 3}-.1025224
{txt}{space 2}world_regions_arab {c |}{col 22}{res}{space 2}-.1585698{col 34}{space 2} .0853826{col 45}{space 1}   -1.86{col 54}{space 3}0.063{col 62}{space 4}-.3259166{col 75}{space 3} .0087771
{txt}{space 2}world_regions_asia {c |}{col 22}{res}{space 2} .6059841{col 34}{space 2} .0882521{col 45}{space 1}    6.87{col 54}{space 3}0.000{col 62}{space 4} .4330131{col 75}{space 3} .7789552
{txt}{space 4}world_regions_us {c |}{col 22}{res}{space 2} .9833566{col 34}{space 2} .0866906{col 45}{space 1}   11.34{col 54}{space 3}0.000{col 62}{space 4} .8134461{col 75}{space 3} 1.153267
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}/cut1 {c |}{col 22}{res}{space 2} 2.244237{col 34}{space 2} .4154558{col 62}{space 4} 1.429959{col 75}{space 3} 3.058516
{txt}{space 15}/cut2 {c |}{col 22}{res}{space 2}   4.3991{col 34}{space 2} .4130125{col 62}{space 4} 3.589611{col 75}{space 3}  5.20859
{txt}{space 15}/cut3 {c |}{col 22}{res}{space 2} 7.916776{col 34}{space 2} .4525453{col 62}{space 4} 7.029803{col 75}{space 3} 8.803748
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.         
.         *Model 4
.         ologit world_regions_us wave $controls_3 world_regions_russia world_regions_arab world_regions_asia world_regions_europe , robust 

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2149.2574}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1935.1133}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1925.6545}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1925.6159}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1925.6159}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}     1,906
{txt}{col 49}Wald chi2({res}14{txt}){col 67}= {res}    339.18
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-1925.6159{txt}{col 49}Pseudo R2{col 67}= {res}    0.1041

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}    world_regions_us{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.1060074{col 34}{space 2} .0909904{col 45}{space 1}   -1.17{col 54}{space 3}0.244{col 62}{space 4}-.2843453{col 75}{space 3} .0723304
{txt}{space 17}age {c |}{col 22}{res}{space 2}-.0068224{col 34}{space 2}  .003437{col 45}{space 1}   -1.98{col 54}{space 3}0.047{col 62}{space 4}-.0135589{col 75}{space 3}-.0000859
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.0586338{col 34}{space 2} .0967292{col 45}{space 1}   -0.61{col 54}{space 3}0.544{col 62}{space 4}-.2482195{col 75}{space 3}  .130952
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}-.2360087{col 34}{space 2} .0616269{col 45}{space 1}   -3.83{col 54}{space 3}0.000{col 62}{space 4}-.3567952{col 75}{space 3}-.1152222
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2}-.4771311{col 34}{space 2} .1425297{col 45}{space 1}   -3.35{col 54}{space 3}0.001{col 62}{space 4}-.7564841{col 75}{space 3}-.1977782
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2}-.0426144{col 34}{space 2} .0614196{col 45}{space 1}   -0.69{col 54}{space 3}0.488{col 62}{space 4}-.1629947{col 75}{space 3} .0777659
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2} .0622186{col 34}{space 2} .0281356{col 45}{space 1}    2.21{col 54}{space 3}0.027{col 62}{space 4} .0070737{col 75}{space 3} .1173634
{txt}football_consumption {c |}{col 22}{res}{space 2} .1213051{col 34}{space 2} .0416133{col 45}{space 1}    2.92{col 54}{space 3}0.004{col 62}{space 4} .0397444{col 75}{space 3} .2028657
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}-.1497179{col 34}{space 2}  .056647{col 45}{space 1}   -2.64{col 54}{space 3}0.008{col 62}{space 4}-.2607439{col 75}{space 3}-.0386919
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2}-.2652057{col 34}{space 2} .1310219{col 45}{space 1}   -2.02{col 54}{space 3}0.043{col 62}{space 4}-.5220038{col 75}{space 3}-.0084075
{txt}world_regions_russia {c |}{col 22}{res}{space 2}-.2344384{col 34}{space 2} .0696677{col 45}{space 1}   -3.37{col 54}{space 3}0.001{col 62}{space 4}-.3709846{col 75}{space 3}-.0978922
{txt}{space 2}world_regions_arab {c |}{col 22}{res}{space 2} .4715676{col 34}{space 2} .0865648{col 45}{space 1}    5.45{col 54}{space 3}0.000{col 62}{space 4} .3019038{col 75}{space 3} .6412315
{txt}{space 2}world_regions_asia {c |}{col 22}{res}{space 2} .5127787{col 34}{space 2} .0880455{col 45}{space 1}    5.82{col 54}{space 3}0.000{col 62}{space 4} .3402127{col 75}{space 3} .6853447
{txt}world_regions_europe {c |}{col 22}{res}{space 2} 1.111562{col 34}{space 2} .0937318{col 45}{space 1}   11.86{col 54}{space 3}0.000{col 62}{space 4} .9278509{col 75}{space 3} 1.295273
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}/cut1 {c |}{col 22}{res}{space 2} 1.620406{col 34}{space 2} .3855117{col 62}{space 4} .8648167{col 75}{space 3} 2.375995
{txt}{space 15}/cut2 {c |}{col 22}{res}{space 2} 3.810196{col 34}{space 2} .4008814{col 62}{space 4} 3.024483{col 75}{space 3} 4.595909
{txt}{space 15}/cut3 {c |}{col 22}{res}{space 2} 7.035469{col 34}{space 2} .4308327{col 62}{space 4} 6.191052{col 75}{space 3} 7.879885
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.         
.         
.         ****************************************************************************
.         *Table A.6.9. Ordered logistic regressions: World Cup start and change of opinions about German media and boycott
.         ****************************************************************************    
.         
.         *Control variables
.         #delimit ;
{txt}delimiter now ;
{com}.         global controls_4 = "
>                                                  age
>                                                  male
>                                                  education3 
>                                                  mig_backg 
>                                                  pol_interest 
>                                                  pol_left_right 
>                                                  football_consumption 
>                                                  football_reports
>                                                  born_gdr
>                                                  world_regions_russia
>                                                  "
>         ;
{txt}
{com}.         #delimit cr     
{txt}delimiter now cr
{com}.                                                         
.         *Dependent variables
.         #delimit ;
{txt}delimiter now ;
{com}.         tokenize                           "
>                                                    qat_state_2_speech
>                                                    qat_state_2_critic
>                                                    pol_media_opinion
>                                                    football_boycott_pol 
>                                                    ";
{txt}
{com}.         #delimit cr     
{txt}delimiter now cr
{com}. 
.         *Models 1-4
.         forval j=1/4  {c -(} 
{txt}  2{com}.         tab ``j''
{txt}  3{com}.         
.         ologit ``j'' wave $controls_4 , robust
{txt}  4{com}.                 
.         {c )-}               

 {txt}Germany: Freedom {c |}
    of expression {c |}
 similar to Qatar {c |}      Freq.     Percent        Cum.
{hline 18}{c +}{hline 35}
strongly disagree {c |}{res}        686       34.42       34.42
{txt}         disagree {c |}{res}        502       25.19       59.61
{txt}      neither nor {c |}{res}        490       24.59       84.19
{txt}            agree {c |}{res}        197        9.88       94.08
{txt}    stronly agree {c |}{res}        118        5.92      100.00
{txt}{hline 18}{c +}{hline 35}
            Total {c |}{res}      1,993      100.00

{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2795.0818}  
Iteration 1:{space 3}log pseudolikelihood = {res: -2617.416}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2615.3154}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2615.3114}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2615.3114}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}     1,918
{txt}{col 49}Wald chi2({res}11{txt}){col 67}= {res}    318.80
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-2615.3114{txt}{col 49}Pseudo R2{col 67}= {res}    0.0643

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}  qat_state_2_speech{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2} .1866255{col 34}{space 2} .0837852{col 45}{space 1}    2.23{col 54}{space 3}0.026{col 62}{space 4} .0224095{col 75}{space 3} .3508414
{txt}{space 17}age {c |}{col 22}{res}{space 2}-.0089728{col 34}{space 2}  .003192{col 45}{space 1}   -2.81{col 54}{space 3}0.005{col 62}{space 4} -.015229{col 75}{space 3}-.0027166
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.1964728{col 34}{space 2} .0911922{col 45}{space 1}   -2.15{col 54}{space 3}0.031{col 62}{space 4}-.3752062{col 75}{space 3}-.0177395
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}-.2625949{col 34}{space 2} .0576649{col 45}{space 1}   -4.55{col 54}{space 3}0.000{col 62}{space 4}-.3756161{col 75}{space 3}-.1495738
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .1800097{col 34}{space 2} .1218112{col 45}{space 1}    1.48{col 54}{space 3}0.139{col 62}{space 4}-.0587359{col 75}{space 3} .4187554
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0248609{col 34}{space 2} .0576845{col 45}{space 1}    0.43{col 54}{space 3}0.666{col 62}{space 4}-.0881986{col 75}{space 3} .1379204
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2} .1578048{col 34}{space 2} .0266842{col 45}{space 1}    5.91{col 54}{space 3}0.000{col 62}{space 4} .1055047{col 75}{space 3}  .210105
{txt}football_consumption {c |}{col 22}{res}{space 2} .0924819{col 34}{space 2} .0403846{col 45}{space 1}    2.29{col 54}{space 3}0.022{col 62}{space 4} .0133295{col 75}{space 3} .1716343
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}-.3305713{col 34}{space 2} .0555784{col 45}{space 1}   -5.95{col 54}{space 3}0.000{col 62}{space 4} -.439503{col 75}{space 3}-.2216396
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .3249237{col 34}{space 2} .1124728{col 45}{space 1}    2.89{col 54}{space 3}0.004{col 62}{space 4}  .104481{col 75}{space 3} .5453664
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .6500603{col 34}{space 2} .0564169{col 45}{space 1}   11.52{col 54}{space 3}0.000{col 62}{space 4} .5394852{col 75}{space 3} .7606353
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}/cut1 {c |}{col 22}{res}{space 2}-.0621897{col 34}{space 2} .3125963{col 62}{space 4}-.6748672{col 75}{space 3} .5504879
{txt}{space 15}/cut2 {c |}{col 22}{res}{space 2} 1.128504{col 34}{space 2} .3123099{col 62}{space 4} .5163877{col 75}{space 3}  1.74062
{txt}{space 15}/cut3 {c |}{col 22}{res}{space 2} 2.563617{col 34}{space 2} .3152021{col 62}{space 4} 1.945832{col 75}{space 3} 3.181402
{txt}{space 15}/cut4 {c |}{col 22}{res}{space 2} 3.728282{col 34}{space 2} .3260363{col 62}{space 4} 3.089263{col 75}{space 3} 4.367302
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

Germany: Too much {c |}
     criticism by {c |}
            media {c |}      Freq.     Percent        Cum.
{hline 18}{c +}{hline 35}
strongly disagree {c |}{res}        559       28.06       28.06
{txt}         disagree {c |}{res}        528       26.51       54.57
{txt}      neither nor {c |}{res}        515       25.85       80.42
{txt}            agree {c |}{res}        260       13.05       93.47
{txt}    stronly agree {c |}{res}        130        6.53      100.00
{txt}{hline 18}{c +}{hline 35}
            Total {c |}{res}      1,992      100.00

{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2881.5585}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2759.7731}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2758.7362}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2758.7353}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2758.7353}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}     1,918
{txt}{col 49}Wald chi2({res}11{txt}){col 67}= {res}    193.32
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-2758.7353{txt}{col 49}Pseudo R2{col 67}= {res}    0.0426

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}  qat_state_2_critic{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2} .1739146{col 34}{space 2} .0815328{col 45}{space 1}    2.13{col 54}{space 3}0.033{col 62}{space 4} .0141132{col 75}{space 3}  .333716
{txt}{space 17}age {c |}{col 22}{res}{space 2}-.0061498{col 34}{space 2} .0030052{col 45}{space 1}   -2.05{col 54}{space 3}0.041{col 62}{space 4}-.0120399{col 75}{space 3}-.0002597
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.0878051{col 34}{space 2} .0867685{col 45}{space 1}   -1.01{col 54}{space 3}0.312{col 62}{space 4}-.2578683{col 75}{space 3} .0822581
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}-.1067319{col 34}{space 2}  .054984{col 45}{space 1}   -1.94{col 54}{space 3}0.052{col 62}{space 4}-.2144986{col 75}{space 3} .0010348
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .1657785{col 34}{space 2} .1199004{col 45}{space 1}    1.38{col 54}{space 3}0.167{col 62}{space 4} -.069222{col 75}{space 3}  .400779
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0018927{col 34}{space 2} .0556879{col 45}{space 1}    0.03{col 54}{space 3}0.973{col 62}{space 4}-.1072536{col 75}{space 3}  .111039
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2} .0872368{col 34}{space 2} .0249022{col 45}{space 1}    3.50{col 54}{space 3}0.000{col 62}{space 4} .0384293{col 75}{space 3} .1360443
{txt}football_consumption {c |}{col 22}{res}{space 2} .1813739{col 34}{space 2} .0384379{col 45}{space 1}    4.72{col 54}{space 3}0.000{col 62}{space 4} .1060369{col 75}{space 3} .2567109
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}-.3645775{col 34}{space 2} .0536716{col 45}{space 1}   -6.79{col 54}{space 3}0.000{col 62}{space 4} -.469772{col 75}{space 3} -.259383
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .3871891{col 34}{space 2} .1033126{col 45}{space 1}    3.75{col 54}{space 3}0.000{col 62}{space 4} .1847001{col 75}{space 3}  .589678
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .5163193{col 34}{space 2} .0541943{col 45}{space 1}    9.53{col 54}{space 3}0.000{col 62}{space 4} .4101005{col 75}{space 3} .6225381
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}/cut1 {c |}{col 22}{res}{space 2}-.4062553{col 34}{space 2} .3040675{col 62}{space 4}-1.002217{col 75}{space 3} .1897061
{txt}{space 15}/cut2 {c |}{col 22}{res}{space 2} .8610963{col 34}{space 2} .3055064{col 62}{space 4} .2623147{col 75}{space 3} 1.459878
{txt}{space 15}/cut3 {c |}{col 22}{res}{space 2} 2.200398{col 34}{space 2} .3113482{col 62}{space 4} 1.590167{col 75}{space 3} 2.810629
{txt}{space 15}/cut4 {c |}{col 22}{res}{space 2} 3.501386{col 34}{space 2} .3251803{col 62}{space 4} 2.864044{col 75}{space 3} 4.138728
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

         Germany: {c |}
    Imposition of {c |}
 opinion by media {c |}      Freq.     Percent        Cum.
{hline 18}{c +}{hline 35}
strongly disagree {c |}{res}        134        6.70        6.70
{txt}         disagree {c |}{res}        364       18.21       24.91
{txt}      neither nor {c |}{res}        740       37.02       61.93
{txt}            agree {c |}{res}        445       22.26       84.19
{txt}    stronly agree {c |}{res}        316       15.81      100.00
{txt}{hline 18}{c +}{hline 35}
            Total {c |}{res}      1,999      100.00

{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2852.8115}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2756.1617}  
Iteration 2:{space 3}log pseudolikelihood = {res: -2755.173}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2755.1725}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2755.1725}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}     1,921
{txt}{col 49}Wald chi2({res}11{txt}){col 67}= {res}    179.59
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-2755.1725{txt}{col 49}Pseudo R2{col 67}= {res}    0.0342

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}   pol_media_opinion{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2} .1632995{col 34}{space 2} .0831071{col 45}{space 1}    1.96{col 54}{space 3}0.049{col 62}{space 4} .0004126{col 75}{space 3} .3261864
{txt}{space 17}age {c |}{col 22}{res}{space 2}-.0015421{col 34}{space 2} .0031313{col 45}{space 1}   -0.49{col 54}{space 3}0.622{col 62}{space 4}-.0076794{col 75}{space 3} .0045951
{txt}{space 16}male {c |}{col 22}{res}{space 2} .0006199{col 34}{space 2} .0900583{col 45}{space 1}    0.01{col 54}{space 3}0.995{col 62}{space 4}-.1758911{col 75}{space 3} .1771309
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}-.0553576{col 34}{space 2} .0559993{col 45}{space 1}   -0.99{col 54}{space 3}0.323{col 62}{space 4}-.1651143{col 75}{space 3}  .054399
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .2072661{col 34}{space 2} .1224686{col 45}{space 1}    1.69{col 54}{space 3}0.091{col 62}{space 4}-.0327679{col 75}{space 3} .4473001
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0299671{col 34}{space 2} .0560578{col 45}{space 1}    0.53{col 54}{space 3}0.593{col 62}{space 4}-.0799042{col 75}{space 3} .1398383
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2} .1560173{col 34}{space 2} .0235704{col 45}{space 1}    6.62{col 54}{space 3}0.000{col 62}{space 4} .1098201{col 75}{space 3} .2022145
{txt}football_consumption {c |}{col 22}{res}{space 2} .0252377{col 34}{space 2} .0387953{col 45}{space 1}    0.65{col 54}{space 3}0.515{col 62}{space 4}-.0507997{col 75}{space 3} .1012751
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2} .0296661{col 34}{space 2} .0515954{col 45}{space 1}    0.57{col 54}{space 3}0.565{col 62}{space 4} -.071459{col 75}{space 3} .1307912
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .2098351{col 34}{space 2} .1102407{col 45}{space 1}    1.90{col 54}{space 3}0.057{col 62}{space 4}-.0062328{col 75}{space 3} .4259029
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .5227147{col 34}{space 2} .0556084{col 45}{space 1}    9.40{col 54}{space 3}0.000{col 62}{space 4} .4137242{col 75}{space 3} .6317051
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}/cut1 {c |}{col 22}{res}{space 2}-.7299648{col 34}{space 2} .2989993{col 62}{space 4}-1.315993{col 75}{space 3} -.143937
{txt}{space 15}/cut2 {c |}{col 22}{res}{space 2} .8089716{col 34}{space 2}  .290048{col 62}{space 4}  .240488{col 75}{space 3} 1.377455
{txt}{space 15}/cut3 {c |}{col 22}{res}{space 2} 2.516258{col 34}{space 2}  .296234{col 62}{space 4}  1.93565{col 75}{space 3} 3.096866
{txt}{space 15}/cut4 {c |}{col 22}{res}{space 2} 3.789708{col 34}{space 2} .3017897{col 62}{space 4} 3.198211{col 75}{space 3} 4.381206
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

 Germany: Boycott {c |}
of tournaments by {c |}
      politicians {c |}      Freq.     Percent        Cum.
{hline 18}{c +}{hline 35}
strongly disagree {c |}{res}        139        6.92        6.92
{txt}         disagree {c |}{res}        208       10.36       17.28
{txt}      neither nor {c |}{res}        568       28.29       45.57
{txt}            agree {c |}{res}        473       23.56       69.12
{txt}    stronly agree {c |}{res}        620       30.88      100.00
{txt}{hline 18}{c +}{hline 35}
            Total {c |}{res}      2,008      100.00

{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2853.7597}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2746.4129}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2745.8442}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2745.8438}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2745.8438}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}     1,928
{txt}{col 49}Wald chi2({res}11{txt}){col 67}= {res}    203.29
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-2745.8438{txt}{col 49}Pseudo R2{col 67}= {res}    0.0378

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}football_boycott_pol{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.2102175{col 34}{space 2} .0829729{col 45}{space 1}   -2.53{col 54}{space 3}0.011{col 62}{space 4}-.3728414{col 75}{space 3}-.0475936
{txt}{space 17}age {c |}{col 22}{res}{space 2} .0087672{col 34}{space 2}  .003099{col 45}{space 1}    2.83{col 54}{space 3}0.005{col 62}{space 4} .0026933{col 75}{space 3} .0148411
{txt}{space 16}male {c |}{col 22}{res}{space 2} .0319201{col 34}{space 2} .0868769{col 45}{space 1}    0.37{col 54}{space 3}0.713{col 62}{space 4}-.1383556{col 75}{space 3} .2021958
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} .0666356{col 34}{space 2} .0561961{col 45}{space 1}    1.19{col 54}{space 3}0.236{col 62}{space 4}-.0435068{col 75}{space 3} .1767779
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} -.289676{col 34}{space 2} .1329316{col 45}{space 1}   -2.18{col 54}{space 3}0.029{col 62}{space 4}-.5502171{col 75}{space 3}-.0291349
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0575988{col 34}{space 2} .0586948{col 45}{space 1}    0.98{col 54}{space 3}0.326{col 62}{space 4} -.057441{col 75}{space 3} .1726385
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.0863799{col 34}{space 2} .0253326{col 45}{space 1}   -3.41{col 54}{space 3}0.001{col 62}{space 4} -.136031{col 75}{space 3}-.0367289
{txt}football_consumption {c |}{col 22}{res}{space 2}-.2178902{col 34}{space 2}  .038944{col 45}{space 1}   -5.59{col 54}{space 3}0.000{col 62}{space 4} -.294219{col 75}{space 3}-.1415615
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2} .4314994{col 34}{space 2} .0541247{col 45}{space 1}    7.97{col 54}{space 3}0.000{col 62}{space 4} .3254169{col 75}{space 3} .5375819
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2}-.2552192{col 34}{space 2} .1105462{col 45}{space 1}   -2.31{col 54}{space 3}0.021{col 62}{space 4}-.4718858{col 75}{space 3}-.0385527
{txt}world_regions_russia {c |}{col 22}{res}{space 2}-.3293613{col 34}{space 2} .0556028{col 45}{space 1}   -5.92{col 54}{space 3}0.000{col 62}{space 4}-.4383409{col 75}{space 3}-.2203817
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}/cut1 {c |}{col 22}{res}{space 2}-2.815471{col 34}{space 2} .3228861{col 62}{space 4}-3.448317{col 75}{space 3}-2.182626
{txt}{space 15}/cut2 {c |}{col 22}{res}{space 2}-1.736168{col 34}{space 2} .3162454{col 62}{space 4}-2.355998{col 75}{space 3}-1.116338
{txt}{space 15}/cut3 {c |}{col 22}{res}{space 2}-.2514097{col 34}{space 2} .3158217{col 62}{space 4}-.8704089{col 75}{space 3} .3675896
{txt}{space 15}/cut4 {c |}{col 22}{res}{space 2} .8301104{col 34}{space 2} .3179061{col 62}{space 4}  .207026{col 75}{space 3} 1.453195
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.         
. 
.         ****************************************************************************
.         *Table A.6.10. Ordered logistic regressions: World Cup start and change of political opinions
.         ****************************************************************************    
.                 
.         *Control variables
.         #delimit ;
{txt}delimiter now ;
{com}.         global controls_5 = "
>                                                  age
>                                                  male
>                                                  education3 
>                                                  mig_backg 
>                                                  pol_interest 
>                                                  pol_left_right 
>                                                  football_consumption 
>                                                  football_reports
>                                                  born_gdr
>                                                  world_regions_russia
>                                                  "
>         ;
{txt}
{com}.         #delimit cr     
{txt}delimiter now cr
{com}.         
.         *Dependent variables
.         #delimit ;
{txt}delimiter now ;
{com}.         tokenize                           "    
>                                                    pol_woke_female
>                                                    pol_xeno_mosque
>                                                    pol_woke_homo
>                                                    pol_xeno_security
>                                                    ";
{txt}
{com}.         #delimit cr                                                        
{txt}delimiter now cr
{com}. 
.         *Models 1-4
.         forval j=1/4  {c -(} 
{txt}  2{com}.         tab ``j''
{txt}  3{com}.         
.         ologit ``j'' wave $controls_5 , robust
{txt}  4{com}.         
.         {c )-}               

         {txt}Germany: {c |}
     Professional {c |}
disadvantages for {c |}
            women {c |}      Freq.     Percent        Cum.
{hline 18}{c +}{hline 35}
strongly disagree {c |}{res}        140        7.00        7.00
{txt}         disagree {c |}{res}        308       15.41       22.41
{txt}      neither nor {c |}{res}        750       37.52       59.93
{txt}            agree {c |}{res}        569       28.46       88.39
{txt}    stronly agree {c |}{res}        232       11.61      100.00
{txt}{hline 18}{c +}{hline 35}
            Total {c |}{res}      1,999      100.00

{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2785.8825}  
Iteration 1:{space 3}log pseudolikelihood = {res: -2703.292}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2702.6702}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2702.6698}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2702.6698}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}     1,923
{txt}{col 49}Wald chi2({res}11{txt}){col 67}= {res}    146.75
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-2702.6698{txt}{col 49}Pseudo R2{col 67}= {res}    0.0299

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}     pol_woke_female{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2} .0054085{col 34}{space 2} .0837928{col 45}{space 1}    0.06{col 54}{space 3}0.949{col 62}{space 4}-.1588224{col 75}{space 3} .1696394
{txt}{space 17}age {c |}{col 22}{res}{space 2} .0071379{col 34}{space 2} .0029966{col 45}{space 1}    2.38{col 54}{space 3}0.017{col 62}{space 4} .0012647{col 75}{space 3} .0130111
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.6978591{col 34}{space 2} .0918213{col 45}{space 1}   -7.60{col 54}{space 3}0.000{col 62}{space 4}-.8778255{col 75}{space 3}-.5178926
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}-.1293438{col 34}{space 2} .0547205{col 45}{space 1}   -2.36{col 54}{space 3}0.018{col 62}{space 4}-.2365939{col 75}{space 3}-.0220936
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .1111449{col 34}{space 2} .1267562{col 45}{space 1}    0.88{col 54}{space 3}0.381{col 62}{space 4}-.1372926{col 75}{space 3} .3595825
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2}-.0186393{col 34}{space 2} .0564497{col 45}{space 1}   -0.33{col 54}{space 3}0.741{col 62}{space 4}-.1292786{col 75}{space 3}     .092
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.1872225{col 34}{space 2} .0263592{col 45}{space 1}   -7.10{col 54}{space 3}0.000{col 62}{space 4}-.2388856{col 75}{space 3}-.1355595
{txt}football_consumption {c |}{col 22}{res}{space 2}-.0192178{col 34}{space 2} .0370662{col 45}{space 1}   -0.52{col 54}{space 3}0.604{col 62}{space 4}-.0918662{col 75}{space 3} .0534306
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2} .0388807{col 34}{space 2} .0520944{col 45}{space 1}    0.75{col 54}{space 3}0.455{col 62}{space 4}-.0632225{col 75}{space 3} .1409839
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2}-.1609306{col 34}{space 2} .1165659{col 45}{space 1}   -1.38{col 54}{space 3}0.167{col 62}{space 4}-.3893955{col 75}{space 3} .0675343
{txt}world_regions_russia {c |}{col 22}{res}{space 2}-.0580514{col 34}{space 2} .0563724{col 45}{space 1}   -1.03{col 54}{space 3}0.303{col 62}{space 4}-.1685392{col 75}{space 3} .0524363
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}/cut1 {c |}{col 22}{res}{space 2}-4.151001{col 34}{space 2} .3222181{col 62}{space 4}-4.782537{col 75}{space 3}-3.519466
{txt}{space 15}/cut2 {c |}{col 22}{res}{space 2}-2.763276{col 34}{space 2} .3097375{col 62}{space 4}-3.370351{col 75}{space 3}-2.156202
{txt}{space 15}/cut3 {c |}{col 22}{res}{space 2}-1.012346{col 34}{space 2} .3035732{col 62}{space 4}-1.607338{col 75}{space 3}-.4173534
{txt}{space 15}/cut4 {c |}{col 22}{res}{space 2} .7096155{col 34}{space 2} .3056086{col 62}{space 4} .1106336{col 75}{space 3} 1.308597
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

   Germany: Calls {c |}
  for prayer from {c |}
          mosques {c |}      Freq.     Percent        Cum.
{hline 18}{c +}{hline 35}
strongly disagree {c |}{res}        597       30.02       30.02
{txt}         disagree {c |}{res}        448       22.52       52.54
{txt}      neither nor {c |}{res}        495       24.89       77.43
{txt}            agree {c |}{res}        283       14.23       91.65
{txt}    stronly agree {c |}{res}        166        8.35      100.00
{txt}{hline 18}{c +}{hline 35}
            Total {c |}{res}      1,989      100.00

{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -2921.531}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2790.1055}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2789.0546}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2789.0536}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2789.0536}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}     1,912
{txt}{col 49}Wald chi2({res}11{txt}){col 67}= {res}    217.85
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-2789.0536{txt}{col 49}Pseudo R2{col 67}= {res}    0.0453

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}     pol_xeno_mosque{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.0095305{col 34}{space 2} .0825652{col 45}{space 1}   -0.12{col 54}{space 3}0.908{col 62}{space 4}-.1713554{col 75}{space 3} .1522944
{txt}{space 17}age {c |}{col 22}{res}{space 2}-.0131885{col 34}{space 2} .0031286{col 45}{space 1}   -4.22{col 54}{space 3}0.000{col 62}{space 4}-.0193205{col 75}{space 3}-.0070566
{txt}{space 16}male {c |}{col 22}{res}{space 2} .0668718{col 34}{space 2} .0873855{col 45}{space 1}    0.77{col 54}{space 3}0.444{col 62}{space 4}-.1044007{col 75}{space 3} .2381443
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} .3107251{col 34}{space 2} .0564342{col 45}{space 1}    5.51{col 54}{space 3}0.000{col 62}{space 4} .2001161{col 75}{space 3} .4213342
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .0076402{col 34}{space 2} .1315568{col 45}{space 1}    0.06{col 54}{space 3}0.954{col 62}{space 4}-.2502064{col 75}{space 3} .2654867
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2}-.0262481{col 34}{space 2} .0547768{col 45}{space 1}   -0.48{col 54}{space 3}0.632{col 62}{space 4}-.1336087{col 75}{space 3} .0811124
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.2925175{col 34}{space 2} .0284471{col 45}{space 1}  -10.28{col 54}{space 3}0.000{col 62}{space 4}-.3482728{col 75}{space 3}-.2367623
{txt}football_consumption {c |}{col 22}{res}{space 2} .1224167{col 34}{space 2} .0381624{col 45}{space 1}    3.21{col 54}{space 3}0.001{col 62}{space 4} .0476197{col 75}{space 3} .1972136
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}-.0813232{col 34}{space 2} .0524604{col 45}{space 1}   -1.55{col 54}{space 3}0.121{col 62}{space 4}-.1841437{col 75}{space 3} .0214973
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2}-.2354301{col 34}{space 2} .1100705{col 45}{space 1}   -2.14{col 54}{space 3}0.032{col 62}{space 4}-.4511642{col 75}{space 3}-.0196959
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .1879294{col 34}{space 2} .0552453{col 45}{space 1}    3.40{col 54}{space 3}0.001{col 62}{space 4} .0796506{col 75}{space 3} .2962082
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}/cut1 {c |}{col 22}{res}{space 2}-2.106352{col 34}{space 2}   .31947{col 62}{space 4}-2.732502{col 75}{space 3}-1.480202
{txt}{space 15}/cut2 {c |}{col 22}{res}{space 2}-1.071005{col 34}{space 2} .3145723{col 62}{space 4}-1.687556{col 75}{space 3}-.4544551
{txt}{space 15}/cut3 {c |}{col 22}{res}{space 2}  .179806{col 34}{space 2} .3100224{col 62}{space 4}-.4278267{col 75}{space 3} .7874387
{txt}{space 15}/cut4 {c |}{col 22}{res}{space 2} 1.434026{col 34}{space 2} .3122917{col 62}{space 4} .8219453{col 75}{space 3} 2.046106
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

         Germany: {c |}
      Exaggerated {c |}
     demands from {c |}
      homosexuals {c |}      Freq.     Percent        Cum.
{hline 18}{c +}{hline 35}
strongly disagree {c |}{res}        445       22.24       22.24
{txt}         disagree {c |}{res}        421       21.04       43.28
{txt}      neither nor {c |}{res}        541       27.04       70.31
{txt}            agree {c |}{res}        297       14.84       85.16
{txt}    stronly agree {c |}{res}        297       14.84      100.00
{txt}{hline 18}{c +}{hline 35}
            Total {c |}{res}      2,001      100.00

{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3043.7788}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2879.7867}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2877.7625}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2877.7603}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2877.7603}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}     1,924
{txt}{col 49}Wald chi2({res}11{txt}){col 67}= {res}    282.53
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-2877.7603{txt}{col 49}Pseudo R2{col 67}= {res}    0.0545

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}       pol_woke_homo{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2} .2211953{col 34}{space 2} .0830035{col 45}{space 1}    2.66{col 54}{space 3}0.008{col 62}{space 4} .0585114{col 75}{space 3} .3838791
{txt}{space 17}age {c |}{col 22}{res}{space 2}-.0019584{col 34}{space 2} .0031178{col 45}{space 1}   -0.63{col 54}{space 3}0.530{col 62}{space 4}-.0080692{col 75}{space 3} .0041524
{txt}{space 16}male {c |}{col 22}{res}{space 2} .3739047{col 34}{space 2} .0887387{col 45}{space 1}    4.21{col 54}{space 3}0.000{col 62}{space 4} .1999802{col 75}{space 3} .5478293
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}-.2204868{col 34}{space 2} .0561317{col 45}{space 1}   -3.93{col 54}{space 3}0.000{col 62}{space 4} -.330503{col 75}{space 3}-.1104706
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .3696793{col 34}{space 2} .1213951{col 45}{space 1}    3.05{col 54}{space 3}0.002{col 62}{space 4} .1317494{col 75}{space 3} .6076093
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .1247569{col 34}{space 2} .0557772{col 45}{space 1}    2.24{col 54}{space 3}0.025{col 62}{space 4} .0154355{col 75}{space 3} .2340782
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2} .2734992{col 34}{space 2}   .02615{col 45}{space 1}   10.46{col 54}{space 3}0.000{col 62}{space 4} .2222461{col 75}{space 3} .3247524
{txt}football_consumption {c |}{col 22}{res}{space 2} .0979713{col 34}{space 2} .0372073{col 45}{space 1}    2.63{col 54}{space 3}0.008{col 62}{space 4} .0250464{col 75}{space 3} .1708963
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}-.1757161{col 34}{space 2} .0515953{col 45}{space 1}   -3.41{col 54}{space 3}0.001{col 62}{space 4}-.2768411{col 75}{space 3}-.0745911
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .1598146{col 34}{space 2} .1065631{col 45}{space 1}    1.50{col 54}{space 3}0.134{col 62}{space 4}-.0490452{col 75}{space 3} .3686743
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .3920707{col 34}{space 2} .0539993{col 45}{space 1}    7.26{col 54}{space 3}0.000{col 62}{space 4}  .286234{col 75}{space 3} .4979074
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}/cut1 {c |}{col 22}{res}{space 2} .8124969{col 34}{space 2} .2981625{col 62}{space 4} .2281091{col 75}{space 3} 1.396885
{txt}{space 15}/cut2 {c |}{col 22}{res}{space 2} 1.899146{col 34}{space 2} .2986831{col 62}{space 4} 1.313738{col 75}{space 3} 2.484554
{txt}{space 15}/cut3 {c |}{col 22}{res}{space 2} 3.171172{col 34}{space 2} .3043152{col 62}{space 4} 2.574725{col 75}{space 3} 3.767618
{txt}{space 15}/cut4 {c |}{col 22}{res}{space 2} 4.154764{col 34}{space 2} .3120661{col 62}{space 4} 3.543126{col 75}{space 3} 4.766403
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

Germany: Security {c |}
  threats through {c |}
      immigration {c |}      Freq.     Percent        Cum.
{hline 18}{c +}{hline 35}
strongly disagree {c |}{res}        251       12.60       12.60
{txt}         disagree {c |}{res}        344       17.27       29.87
{txt}      neither nor {c |}{res}        619       31.07       60.94
{txt}            agree {c |}{res}        396       19.88       80.82
{txt}    stronly agree {c |}{res}        382       19.18      100.00
{txt}{hline 18}{c +}{hline 35}
            Total {c |}{res}      1,992      100.00

{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2998.6508}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2844.7074}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2842.9573}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2842.9553}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2842.9553}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}     1,915
{txt}{col 49}Wald chi2({res}11{txt}){col 67}= {res}    251.82
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-2842.9553{txt}{col 49}Pseudo R2{col 67}= {res}    0.0519

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}   pol_xeno_security{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2} .1669497{col 34}{space 2} .0824512{col 45}{space 1}    2.02{col 54}{space 3}0.043{col 62}{space 4} .0053483{col 75}{space 3}  .328551
{txt}{space 17}age {c |}{col 22}{res}{space 2} .0049777{col 34}{space 2} .0031536{col 45}{space 1}    1.58{col 54}{space 3}0.114{col 62}{space 4}-.0012033{col 75}{space 3} .0111586
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.1100478{col 34}{space 2} .0892764{col 45}{space 1}   -1.23{col 54}{space 3}0.218{col 62}{space 4}-.2850263{col 75}{space 3} .0649306
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}-.3880614{col 34}{space 2} .0560339{col 45}{space 1}   -6.93{col 54}{space 3}0.000{col 62}{space 4}-.4978859{col 75}{space 3}-.2782369
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} -.108253{col 34}{space 2} .1173401{col 45}{space 1}   -0.92{col 54}{space 3}0.356{col 62}{space 4}-.3382354{col 75}{space 3} .1217293
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2}  .102351{col 34}{space 2} .0580759{col 45}{space 1}    1.76{col 54}{space 3}0.078{col 62}{space 4}-.0114757{col 75}{space 3} .2161777
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2} .3286728{col 34}{space 2} .0284402{col 45}{space 1}   11.56{col 54}{space 3}0.000{col 62}{space 4} .2729311{col 75}{space 3} .3844145
{txt}football_consumption {c |}{col 22}{res}{space 2}  .016582{col 34}{space 2} .0384437{col 45}{space 1}    0.43{col 54}{space 3}0.666{col 62}{space 4}-.0587662{col 75}{space 3} .0919302
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}-.0342621{col 34}{space 2} .0538532{col 45}{space 1}   -0.64{col 54}{space 3}0.525{col 62}{space 4}-.1398124{col 75}{space 3} .0712883
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .1890446{col 34}{space 2}   .10749{col 45}{space 1}    1.76{col 54}{space 3}0.079{col 62}{space 4} -.021632{col 75}{space 3} .3997212
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .1785299{col 34}{space 2} .0544116{col 45}{space 1}    3.28{col 54}{space 3}0.001{col 62}{space 4} .0718851{col 75}{space 3} .2851746
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}/cut1 {c |}{col 22}{res}{space 2} -.319727{col 34}{space 2}   .30776{col 62}{space 4}-.9229256{col 75}{space 3} .2834716
{txt}{space 15}/cut2 {c |}{col 22}{res}{space 2} .8611578{col 34}{space 2}  .306206{col 62}{space 4} .2610051{col 75}{space 3}  1.46131
{txt}{space 15}/cut3 {c |}{col 22}{res}{space 2} 2.307269{col 34}{space 2} .3116162{col 62}{space 4} 1.696513{col 75}{space 3} 2.918026
{txt}{space 15}/cut4 {c |}{col 22}{res}{space 2} 3.419585{col 34}{space 2} .3182899{col 62}{space 4} 2.795749{col 75}{space 3} 4.043422
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.         
.         
.         ****************************************************************************
.         *Table A.6.11. Clustered standard errors: Watching the start of the World Cup
.         ****************************************************************************    
.         
.         *Control variables
.         #delimit ;
{txt}delimiter now ;
{com}.         global controls_1 = "
>                                                  age
>                                                  male 
>                                                  education3 
>                                                  mig_backg 
>                                                  pol_interest 
>                                                  pol_left_right 
>                                                  football_consumption   
>                                                  football_reports
>                                                  born_gdr
>                                                  world_regions_russia
>                                                  "
>         ;
{txt}
{com}.         #delimit cr
{txt}delimiter now cr
{com}. 
.         *Model 1 
.         reg football_opening_cat $controls_1 if wave==0 , cluster(plz_num) 

{txt}Linear regression                               Number of obs     = {res}       962
                                                {txt}{help j_robustsingular:F(8, 9) }          =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.2321
                                                {txt}Root MSE          =    {res} .65616

{txt}{ralign 86:(Std. Err. adjusted for {res:10} clusters in plz_num)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}football_opening_cat{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 17}age {c |}{col 22}{res}{space 2}-.0065127{col 34}{space 2} .0011448{col 45}{space 1}   -5.69{col 54}{space 3}0.000{col 62}{space 4}-.0091025{col 75}{space 3}-.0039229
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.0610872{col 34}{space 2} .0322951{col 45}{space 1}   -1.89{col 54}{space 3}0.091{col 62}{space 4}-.1341438{col 75}{space 3} .0119695
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}-.0860084{col 34}{space 2} .0323614{col 45}{space 1}   -2.66{col 54}{space 3}0.026{col 62}{space 4} -.159215{col 75}{space 3}-.0128019
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .2111041{col 34}{space 2} .0570066{col 45}{space 1}    3.70{col 54}{space 3}0.005{col 62}{space 4} .0821461{col 75}{space 3}  .340062
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0995601{col 34}{space 2} .0289877{col 45}{space 1}    3.43{col 54}{space 3}0.007{col 62}{space 4} .0339854{col 75}{space 3} .1651347
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2} .0167022{col 34}{space 2} .0104597{col 45}{space 1}    1.60{col 54}{space 3}0.145{col 62}{space 4}-.0069592{col 75}{space 3} .0403636
{txt}football_consumption {c |}{col 22}{res}{space 2} .2539697{col 34}{space 2} .0244058{col 45}{space 1}   10.41{col 54}{space 3}0.000{col 62}{space 4} .1987601{col 75}{space 3} .3091794
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}-.0363584{col 34}{space 2} .0149817{col 45}{space 1}   -2.43{col 54}{space 3}0.038{col 62}{space 4}-.0702493{col 75}{space 3}-.0024675
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .1130516{col 34}{space 2} .0513722{col 45}{space 1}    2.20{col 54}{space 3}0.055{col 62}{space 4}-.0031605{col 75}{space 3} .2292637
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .0357984{col 34}{space 2} .0245387{col 45}{space 1}    1.46{col 54}{space 3}0.179{col 62}{space 4} -.019712{col 75}{space 3} .0913089
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} .9650032{col 34}{space 2} .1139693{col 45}{space 1}    8.47{col 54}{space 3}0.000{col 62}{space 4} .7071868{col 75}{space 3}  1.22282
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 
.         *Model 2  
.         reg football_opening_cat $controls_1 if wave==1 , cluster(plz_num) 

{txt}Linear regression                               Number of obs     = {res}       963
                                                {txt}{help j_robustsingular:F(8, 9) }          =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.2070
                                                {txt}Root MSE          =    {res} .57523

{txt}{ralign 86:(Std. Err. adjusted for {res:10} clusters in plz_num)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}football_opening_cat{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 17}age {c |}{col 22}{res}{space 2}-.0006984{col 34}{space 2} .0012046{col 45}{space 1}   -0.58{col 54}{space 3}0.576{col 62}{space 4}-.0034235{col 75}{space 3} .0020266
{txt}{space 16}male {c |}{col 22}{res}{space 2} .0318013{col 34}{space 2} .0281867{col 45}{space 1}    1.13{col 54}{space 3}0.288{col 62}{space 4}-.0319615{col 75}{space 3}  .095564
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} .0379145{col 34}{space 2} .0170562{col 45}{space 1}    2.22{col 54}{space 3}0.053{col 62}{space 4}-.0006693{col 75}{space 3} .0764984
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .0917703{col 34}{space 2} .0330173{col 45}{space 1}    2.78{col 54}{space 3}0.021{col 62}{space 4} .0170798{col 75}{space 3} .1664607
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0816366{col 34}{space 2} .0225741{col 45}{space 1}    3.62{col 54}{space 3}0.006{col 62}{space 4} .0305705{col 75}{space 3} .1327028
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.0163813{col 34}{space 2} .0088088{col 45}{space 1}   -1.86{col 54}{space 3}0.096{col 62}{space 4}-.0363083{col 75}{space 3} .0035457
{txt}football_consumption {c |}{col 22}{res}{space 2}  .197678{col 34}{space 2} .0184008{col 45}{space 1}   10.74{col 54}{space 3}0.000{col 62}{space 4} .1560524{col 75}{space 3} .2393036
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2} -.036321{col 34}{space 2} .0233501{col 45}{space 1}   -1.56{col 54}{space 3}0.154{col 62}{space 4}-.0891425{col 75}{space 3} .0165005
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .0907455{col 34}{space 2} .0370882{col 45}{space 1}    2.45{col 54}{space 3}0.037{col 62}{space 4} .0068462{col 75}{space 3} .1746448
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .0739174{col 34}{space 2} .0192788{col 45}{space 1}    3.83{col 54}{space 3}0.004{col 62}{space 4} .0303056{col 75}{space 3} .1175292
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} .6066333{col 34}{space 2} .0810873{col 45}{space 1}    7.48{col 54}{space 3}0.000{col 62}{space 4} .4232012{col 75}{space 3} .7900655
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
.         
.         ****************************************************************************
.         *Table A.6.12. Clustered standard errors: World Cup start and change of opinions about Qatar with control for opening ceremony
.         ****************************************************************************    
.         
.         *Control variables
.         #delimit ;
{txt}delimiter now ;
{com}.         global controls_2 = "
>                                                  age
>                                                  male 
>                                                  education3 
>                                                  mig_backg 
>                                                  pol_interest 
>                                                  pol_left_right 
>                                                  football_consumption 
>                                                  football_reports
>                                                  born_gdr
>                                                  world_regions_russia
>                                                  "
>         ;
{txt}
{com}.         #delimit cr
{txt}delimiter now cr
{com}.                 
.         *Dependent variables
.         #delimit ;
{txt}delimiter now ;
{com}.         tokenize                           "
>                                                    qatar_statements_1_influence 
>                                                    qatar_statements_1_aggro
>                                                    qatar_statements_1_tech
>                                                    qatar_statements_1_orga 
>                                                    qatar_statements_1_travel
>                                                    qat_state_2_worker
>                                                    qat_state_2_women
>                                                    qat_state_2_lgbt
>                                                    ";
{txt}
{com}.         #delimit cr     
{txt}delimiter now cr
{com}.         
.         *Models 1-8
.         forval j=1/8  {c -(} 
{txt}  2{com}.         
.         reg ``j'' wave $controls_2 , cluster(plz_num)                   
{txt}  3{com}.         {c )-}               

{txt}Linear regression                               Number of obs     = {res}     1,922
                                                {txt}{help j_robustsingular:F(8, 9) }          =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.0458
                                                {txt}Root MSE          =    {res} 1.0211

{txt}{ralign 86:(Std. Err. adjusted for {res:10} clusters in plz_num)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}qatar_statements_1~e{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.0394989{col 34}{space 2} .0693235{col 45}{space 1}   -0.57{col 54}{space 3}0.583{col 62}{space 4}-.1963196{col 75}{space 3} .1173217
{txt}{space 17}age {c |}{col 22}{res}{space 2}  .002116{col 34}{space 2} .0020833{col 45}{space 1}    1.02{col 54}{space 3}0.336{col 62}{space 4}-.0025968{col 75}{space 3} .0068288
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.0093288{col 34}{space 2} .0340862{col 45}{space 1}   -0.27{col 54}{space 3}0.791{col 62}{space 4}-.0864371{col 75}{space 3} .0677795
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} .0412305{col 34}{space 2} .0431061{col 45}{space 1}    0.96{col 54}{space 3}0.364{col 62}{space 4}-.0562822{col 75}{space 3} .1387432
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .1068238{col 34}{space 2} .0785222{col 45}{space 1}    1.36{col 54}{space 3}0.207{col 62}{space 4}-.0708057{col 75}{space 3} .2844533
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .1125266{col 34}{space 2} .0398271{col 45}{space 1}    2.83{col 54}{space 3}0.020{col 62}{space 4} .0224315{col 75}{space 3} .2026218
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.0087244{col 34}{space 2} .0093758{col 45}{space 1}   -0.93{col 54}{space 3}0.376{col 62}{space 4}-.0299339{col 75}{space 3}  .012485
{txt}football_consumption {c |}{col 22}{res}{space 2} .0373109{col 34}{space 2} .0222089{col 45}{space 1}    1.68{col 54}{space 3}0.127{col 62}{space 4}-.0129291{col 75}{space 3}  .087551
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2} .1013288{col 34}{space 2}  .041361{col 45}{space 1}    2.45{col 54}{space 3}0.037{col 62}{space 4} .0077637{col 75}{space 3} .1948938
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2}  .110134{col 34}{space 2} .0641766{col 45}{space 1}    1.72{col 54}{space 3}0.120{col 62}{space 4}-.0350436{col 75}{space 3} .2553117
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .1178153{col 34}{space 2} .0303441{col 45}{space 1}    3.88{col 54}{space 3}0.004{col 62}{space 4} .0491722{col 75}{space 3} .1864583
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 2.067794{col 34}{space 2} .1773008{col 45}{space 1}   11.66{col 54}{space 3}0.000{col 62}{space 4} 1.666712{col 75}{space 3} 2.468876
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Linear regression                               Number of obs     = {res}     1,922
                                                {txt}{help j_robustsingular:F(8, 9) }          =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.0364
                                                {txt}Root MSE          =    {res} 1.0524

{txt}{ralign 86:(Std. Err. adjusted for {res:10} clusters in plz_num)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}qatar_statements_1~o{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.0648455{col 34}{space 2}  .059469{col 45}{space 1}   -1.09{col 54}{space 3}0.304{col 62}{space 4}-.1993737{col 75}{space 3} .0696828
{txt}{space 17}age {c |}{col 22}{res}{space 2}-.0019073{col 34}{space 2} .0018174{col 45}{space 1}   -1.05{col 54}{space 3}0.321{col 62}{space 4}-.0060184{col 75}{space 3} .0022039
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.1664799{col 34}{space 2} .0705438{col 45}{space 1}   -2.36{col 54}{space 3}0.043{col 62}{space 4} -.326061{col 75}{space 3}-.0068989
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}-.0545006{col 34}{space 2}  .036086{col 45}{space 1}   -1.51{col 54}{space 3}0.165{col 62}{space 4}-.1361329{col 75}{space 3} .0271317
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2}-.0057974{col 34}{space 2} .0460159{col 45}{space 1}   -0.13{col 54}{space 3}0.903{col 62}{space 4}-.1098926{col 75}{space 3} .0982977
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2}-.0038433{col 34}{space 2} .0318991{col 45}{space 1}   -0.12{col 54}{space 3}0.907{col 62}{space 4} -.076004{col 75}{space 3} .0683174
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.0146061{col 34}{space 2} .0134503{col 45}{space 1}   -1.09{col 54}{space 3}0.306{col 62}{space 4}-.0450328{col 75}{space 3} .0158207
{txt}football_consumption {c |}{col 22}{res}{space 2}-.0594278{col 34}{space 2}  .018785{col 45}{space 1}   -3.16{col 54}{space 3}0.011{col 62}{space 4}-.1019224{col 75}{space 3}-.0169332
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2} .1328409{col 34}{space 2} .0235045{col 45}{space 1}    5.65{col 54}{space 3}0.000{col 62}{space 4}   .07967{col 75}{space 3} .1860117
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2}-.1129209{col 34}{space 2} .0464557{col 45}{space 1}   -2.43{col 54}{space 3}0.038{col 62}{space 4}-.2180111{col 75}{space 3}-.0078307
{txt}world_regions_russia {c |}{col 22}{res}{space 2}-.1160052{col 34}{space 2} .0449194{col 45}{space 1}   -2.58{col 54}{space 3}0.030{col 62}{space 4}-.2176199{col 75}{space 3}-.0143905
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 3.775872{col 34}{space 2} .1395873{col 45}{space 1}   27.05{col 54}{space 3}0.000{col 62}{space 4} 3.460103{col 75}{space 3}  4.09164
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Linear regression                               Number of obs     = {res}     1,921
                                                {txt}{help j_robustsingular:F(8, 9) }          =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.0523
                                                {txt}Root MSE          =    {res} .97597

{txt}{ralign 86:(Std. Err. adjusted for {res:10} clusters in plz_num)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}qatar_statements_1~h{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.0730681{col 34}{space 2} .0662877{col 45}{space 1}   -1.10{col 54}{space 3}0.299{col 62}{space 4}-.2230213{col 75}{space 3} .0768851
{txt}{space 17}age {c |}{col 22}{res}{space 2}-.0007421{col 34}{space 2} .0018921{col 45}{space 1}   -0.39{col 54}{space 3}0.704{col 62}{space 4}-.0050223{col 75}{space 3}  .003538
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.2123134{col 34}{space 2} .0411894{col 45}{space 1}   -5.15{col 54}{space 3}0.001{col 62}{space 4}-.3054903{col 75}{space 3}-.1191365
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}-.0223237{col 34}{space 2} .0287654{col 45}{space 1}   -0.78{col 54}{space 3}0.458{col 62}{space 4}-.0873956{col 75}{space 3} .0427482
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .0358433{col 34}{space 2}  .080299{col 45}{space 1}    0.45{col 54}{space 3}0.666{col 62}{space 4}-.1458057{col 75}{space 3} .2174922
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0860191{col 34}{space 2} .0351631{col 45}{space 1}    2.45{col 54}{space 3}0.037{col 62}{space 4} .0064746{col 75}{space 3} .1655636
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.0103512{col 34}{space 2} .0107835{col 45}{space 1}   -0.96{col 54}{space 3}0.362{col 62}{space 4}-.0347452{col 75}{space 3} .0140428
{txt}football_consumption {c |}{col 22}{res}{space 2}  .056126{col 34}{space 2} .0151428{col 45}{space 1}    3.71{col 54}{space 3}0.005{col 62}{space 4} .0218706{col 75}{space 3} .0903813
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}-.0122986{col 34}{space 2} .0371301{col 45}{space 1}   -0.33{col 54}{space 3}0.748{col 62}{space 4}-.0962927{col 75}{space 3} .0716955
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .2097422{col 34}{space 2} .0334561{col 45}{space 1}    6.27{col 54}{space 3}0.000{col 62}{space 4} .1340592{col 75}{space 3} .2854252
{txt}world_regions_russia {c |}{col 22}{res}{space 2}  .179297{col 34}{space 2} .0344399{col 45}{space 1}    5.21{col 54}{space 3}0.001{col 62}{space 4} .1013886{col 75}{space 3} .2572055
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 2.208621{col 34}{space 2} .1355841{col 45}{space 1}   16.29{col 54}{space 3}0.000{col 62}{space 4} 1.901908{col 75}{space 3} 2.515333
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Linear regression                               Number of obs     = {res}     1,925
                                                {txt}{help j_robustsingular:F(8, 9) }          =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.0967
                                                {txt}Root MSE          =    {res} 1.0101

{txt}{ralign 86:(Std. Err. adjusted for {res:10} clusters in plz_num)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}qatar_statements_1~a{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2} .0106239{col 34}{space 2} .0611827{col 45}{space 1}    0.17{col 54}{space 3}0.866{col 62}{space 4} -.127781{col 75}{space 3} .1490287
{txt}{space 17}age {c |}{col 22}{res}{space 2} .0076677{col 34}{space 2} .0022954{col 45}{space 1}    3.34{col 54}{space 3}0.009{col 62}{space 4} .0024751{col 75}{space 3} .0128604
{txt}{space 16}male {c |}{col 22}{res}{space 2} .1888118{col 34}{space 2} .0478935{col 45}{space 1}    3.94{col 54}{space 3}0.003{col 62}{space 4} .0804691{col 75}{space 3} .2971544
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} .1150219{col 34}{space 2} .0381515{col 45}{space 1}    3.01{col 54}{space 3}0.015{col 62}{space 4} .0287173{col 75}{space 3} .2013265
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .0674102{col 34}{space 2} .0769631{col 45}{space 1}    0.88{col 54}{space 3}0.404{col 62}{space 4}-.1066924{col 75}{space 3} .2415128
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .1821302{col 34}{space 2} .0392968{col 45}{space 1}    4.63{col 54}{space 3}0.001{col 62}{space 4} .0932346{col 75}{space 3} .2710258
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}  .013676{col 34}{space 2}  .009369{col 45}{space 1}    1.46{col 54}{space 3}0.178{col 62}{space 4}-.0075183{col 75}{space 3} .0348702
{txt}football_consumption {c |}{col 22}{res}{space 2}-.0000706{col 34}{space 2} .0139941{col 45}{space 1}   -0.01{col 54}{space 3}0.996{col 62}{space 4}-.0317275{col 75}{space 3} .0315863
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2} .0130941{col 34}{space 2} .0204234{col 45}{space 1}    0.64{col 54}{space 3}0.537{col 62}{space 4}-.0331069{col 75}{space 3} .0592951
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .1389929{col 34}{space 2} .0667099{col 45}{space 1}    2.08{col 54}{space 3}0.067{col 62}{space 4}-.0119155{col 75}{space 3} .2899012
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .2013984{col 34}{space 2} .0308152{col 45}{space 1}    6.54{col 54}{space 3}0.000{col 62}{space 4} .1316896{col 75}{space 3} .2711071
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 1.186829{col 34}{space 2} .1523425{col 45}{space 1}    7.79{col 54}{space 3}0.000{col 62}{space 4} .8422057{col 75}{space 3} 1.531451
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Linear regression                               Number of obs     = {res}     1,922
                                                {txt}{help j_robustsingular:F(8, 9) }          =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.0823
                                                {txt}Root MSE          =    {res} 1.0893

{txt}{ralign 86:(Std. Err. adjusted for {res:10} clusters in plz_num)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}qatar_statements_1~l{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.0557181{col 34}{space 2} .0699672{col 45}{space 1}   -0.80{col 54}{space 3}0.446{col 62}{space 4}-.2139948{col 75}{space 3} .1025586
{txt}{space 17}age {c |}{col 22}{res}{space 2} .0008778{col 34}{space 2} .0024451{col 45}{space 1}    0.36{col 54}{space 3}0.728{col 62}{space 4}-.0046534{col 75}{space 3} .0064091
{txt}{space 16}male {c |}{col 22}{res}{space 2} .1084394{col 34}{space 2} .0452529{col 45}{space 1}    2.40{col 54}{space 3}0.040{col 62}{space 4} .0060703{col 75}{space 3} .2108085
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}-.0552899{col 34}{space 2} .0569443{col 45}{space 1}   -0.97{col 54}{space 3}0.357{col 62}{space 4}-.1841068{col 75}{space 3}  .073527
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .1193877{col 34}{space 2} .0975764{col 45}{space 1}    1.22{col 54}{space 3}0.252{col 62}{space 4}-.1013453{col 75}{space 3} .3401208
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0638118{col 34}{space 2} .0450693{col 45}{space 1}    1.42{col 54}{space 3}0.190{col 62}{space 4} -.038142{col 75}{space 3} .1657657
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.0011143{col 34}{space 2} .0155828{col 45}{space 1}   -0.07{col 54}{space 3}0.945{col 62}{space 4} -.036365{col 75}{space 3} .0341364
{txt}football_consumption {c |}{col 22}{res}{space 2} .1137162{col 34}{space 2} .0161481{col 45}{space 1}    7.04{col 54}{space 3}0.000{col 62}{space 4} .0771868{col 75}{space 3} .1502457
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}-.1182035{col 34}{space 2} .0315212{col 45}{space 1}   -3.75{col 54}{space 3}0.005{col 62}{space 4}-.1895094{col 75}{space 3}-.0468975
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .1981201{col 34}{space 2} .0497065{col 45}{space 1}    3.99{col 54}{space 3}0.003{col 62}{space 4} .0856762{col 75}{space 3} .3105639
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .2574456{col 34}{space 2} .0399849{col 45}{space 1}    6.44{col 54}{space 3}0.000{col 62}{space 4} .1669933{col 75}{space 3} .3478978
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 1.720809{col 34}{space 2} .1924604{col 45}{space 1}    8.94{col 54}{space 3}0.000{col 62}{space 4} 1.285434{col 75}{space 3} 2.156185
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Linear regression                               Number of obs     = {res}     1,917
                                                {txt}{help j_robustsingular:F(8, 9) }          =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.1614
                                                {txt}Root MSE          =    {res} .93797

{txt}{ralign 86:(Std. Err. adjusted for {res:10} clusters in plz_num)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}  qat_state_2_worker{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.0111495{col 34}{space 2} .0438514{col 45}{space 1}   -0.25{col 54}{space 3}0.805{col 62}{space 4}-.1103483{col 75}{space 3} .0880492
{txt}{space 17}age {c |}{col 22}{res}{space 2} .0108679{col 34}{space 2} .0014749{col 45}{space 1}    7.37{col 54}{space 3}0.000{col 62}{space 4} .0075315{col 75}{space 3} .0142042
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.0100715{col 34}{space 2} .0579906{col 45}{space 1}   -0.17{col 54}{space 3}0.866{col 62}{space 4}-.1412553{col 75}{space 3} .1211123
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} .0776366{col 34}{space 2} .0174977{col 45}{space 1}    4.44{col 54}{space 3}0.002{col 62}{space 4} .0380541{col 75}{space 3} .1172191
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2}-.0110952{col 34}{space 2} .0520491{col 45}{space 1}   -0.21{col 54}{space 3}0.836{col 62}{space 4}-.1288384{col 75}{space 3}  .106648
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0993897{col 34}{space 2} .0146846{col 45}{space 1}    6.77{col 54}{space 3}0.000{col 62}{space 4} .0661709{col 75}{space 3} .1326085
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.0699926{col 34}{space 2} .0134826{col 45}{space 1}   -5.19{col 54}{space 3}0.001{col 62}{space 4}-.1004924{col 75}{space 3}-.0394929
{txt}football_consumption {c |}{col 22}{res}{space 2}-.0559301{col 34}{space 2} .0143414{col 45}{space 1}   -3.90{col 54}{space 3}0.004{col 62}{space 4}-.0883727{col 75}{space 3}-.0234876
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2} .2264431{col 34}{space 2}  .015678{col 45}{space 1}   14.44{col 54}{space 3}0.000{col 62}{space 4} .1909771{col 75}{space 3} .2619092
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2}-.1698963{col 34}{space 2} .0523503{col 45}{space 1}   -3.25{col 54}{space 3}0.010{col 62}{space 4}-.2883211{col 75}{space 3}-.0514716
{txt}world_regions_russia {c |}{col 22}{res}{space 2} -.223435{col 34}{space 2} .0324416{col 45}{space 1}   -6.89{col 54}{space 3}0.000{col 62}{space 4}-.2968231{col 75}{space 3}-.1500469
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 3.580798{col 34}{space 2} .1165742{col 45}{space 1}   30.72{col 54}{space 3}0.000{col 62}{space 4} 3.317089{col 75}{space 3} 3.844507
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Linear regression                               Number of obs     = {res}     1,919
                                                {txt}{help j_robustsingular:F(8, 9) }          =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.1196
                                                {txt}Root MSE          =    {res} .94223

{txt}{ralign 86:(Std. Err. adjusted for {res:10} clusters in plz_num)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}   qat_state_2_women{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.1125078{col 34}{space 2} .0415558{col 45}{space 1}   -2.71{col 54}{space 3}0.024{col 62}{space 4}-.2065134{col 75}{space 3}-.0185021
{txt}{space 17}age {c |}{col 22}{res}{space 2} .0104989{col 34}{space 2} .0019927{col 45}{space 1}    5.27{col 54}{space 3}0.001{col 62}{space 4} .0059911{col 75}{space 3} .0150066
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.1242652{col 34}{space 2} .0611845{col 45}{space 1}   -2.03{col 54}{space 3}0.073{col 62}{space 4}-.2626741{col 75}{space 3} .0141438
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} .0212206{col 34}{space 2} .0374787{col 45}{space 1}    0.57{col 54}{space 3}0.585{col 62}{space 4}-.0635621{col 75}{space 3} .1060033
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} -.009479{col 34}{space 2} .0569105{col 45}{space 1}   -0.17{col 54}{space 3}0.871{col 62}{space 4}-.1382195{col 75}{space 3} .1192615
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0082054{col 34}{space 2} .0248573{col 45}{space 1}    0.33{col 54}{space 3}0.749{col 62}{space 4}-.0480258{col 75}{space 3} .0644365
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.0391223{col 34}{space 2} .0147413{col 45}{space 1}   -2.65{col 54}{space 3}0.026{col 62}{space 4}-.0724695{col 75}{space 3}-.0057751
{txt}football_consumption {c |}{col 22}{res}{space 2}-.0800661{col 34}{space 2} .0170719{col 45}{space 1}   -4.69{col 54}{space 3}0.001{col 62}{space 4}-.1186854{col 75}{space 3}-.0414469
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2} .1771362{col 34}{space 2} .0120834{col 45}{space 1}   14.66{col 54}{space 3}0.000{col 62}{space 4} .1498018{col 75}{space 3} .2044707
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2}-.1196351{col 34}{space 2} .0673572{col 45}{space 1}   -1.78{col 54}{space 3}0.109{col 62}{space 4}-.2720076{col 75}{space 3} .0327375
{txt}world_regions_russia {c |}{col 22}{res}{space 2}-.2180382{col 34}{space 2} .0490049{col 45}{space 1}   -4.45{col 54}{space 3}0.002{col 62}{space 4}-.3288949{col 75}{space 3}-.1071815
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 4.048209{col 34}{space 2}  .169447{col 45}{space 1}   23.89{col 54}{space 3}0.000{col 62}{space 4} 3.664893{col 75}{space 3} 4.431524
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Linear regression                               Number of obs     = {res}     1,917
                                                {txt}{help j_robustsingular:F(8, 9) }          =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.1340
                                                {txt}Root MSE          =    {res} .90356

{txt}{ralign 86:(Std. Err. adjusted for {res:10} clusters in plz_num)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}    qat_state_2_lgbt{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.0497346{col 34}{space 2} .0397976{col 45}{space 1}   -1.25{col 54}{space 3}0.243{col 62}{space 4}-.1397631{col 75}{space 3} .0402939
{txt}{space 17}age {c |}{col 22}{res}{space 2} .0123262{col 34}{space 2} .0022367{col 45}{space 1}    5.51{col 54}{space 3}0.000{col 62}{space 4} .0072664{col 75}{space 3}  .017386
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.1192527{col 34}{space 2} .0547209{col 45}{space 1}   -2.18{col 54}{space 3}0.057{col 62}{space 4}  -.24304{col 75}{space 3} .0045345
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} .0719572{col 34}{space 2} .0421361{col 45}{space 1}    1.71{col 54}{space 3}0.122{col 62}{space 4}-.0233614{col 75}{space 3} .1672757
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .0169062{col 34}{space 2} .0475956{col 45}{space 1}    0.36{col 54}{space 3}0.731{col 62}{space 4}-.0907626{col 75}{space 3}  .124575
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0262148{col 34}{space 2} .0139267{col 45}{space 1}    1.88{col 54}{space 3}0.092{col 62}{space 4}-.0052895{col 75}{space 3} .0577192
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.0302087{col 34}{space 2} .0136998{col 45}{space 1}   -2.21{col 54}{space 3}0.055{col 62}{space 4}-.0611998{col 75}{space 3} .0007824
{txt}football_consumption {c |}{col 22}{res}{space 2}  -.05399{col 34}{space 2} .0160774{col 45}{space 1}   -3.36{col 54}{space 3}0.008{col 62}{space 4}-.0903595{col 75}{space 3}-.0176205
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2} .2134008{col 34}{space 2} .0214774{col 45}{space 1}    9.94{col 54}{space 3}0.000{col 62}{space 4} .1648154{col 75}{space 3} .2619861
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2}-.1690703{col 34}{space 2}  .077391{col 45}{space 1}   -2.18{col 54}{space 3}0.057{col 62}{space 4}-.3441409{col 75}{space 3} .0060003
{txt}world_regions_russia {c |}{col 22}{res}{space 2}-.1909361{col 34}{space 2} .0410598{col 45}{space 1}   -4.65{col 54}{space 3}0.001{col 62}{space 4}-.2838197{col 75}{space 3}-.0980524
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 3.805203{col 34}{space 2} .1525341{col 45}{space 1}   24.95{col 54}{space 3}0.000{col 62}{space 4} 3.460147{col 75}{space 3} 4.150259
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         
.         
.         ****************************************************************************
.         *Table A.6.13. Clustered standard errors: World Cup start and change of opinions about world regions and countries with control for opening ceremony
.         ****************************************************************************    
.                 *Control variables
.         #delimit ;
{txt}delimiter now ;
{com}.         global controls_3 = "
>                                                  age
>                                                  male
>                                                  education3 
>                                                  mig_backg 
>                                                  pol_interest 
>                                                  pol_left_right 
>                                                  football_consumption 
>                                                  football_reports
>                                                  born_gdr
>                                                  "
>         ;
{txt}
{com}.         #delimit cr     
{txt}delimiter now cr
{com}.                         
.         *Model 1
.         reg world_regions_arab wave $controls_3 world_regions_russia world_regions_us world_regions_asia world_regions_europe , cluster(plz_num) 

{txt}Linear regression                               Number of obs     = {res}     1,905
                                                {txt}{help j_robustsingular:F(8, 9) }          =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.2612
                                                {txt}Root MSE          =    {res} .64761

{txt}{ralign 86:(Std. Err. adjusted for {res:10} clusters in plz_num)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}  world_regions_arab{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2} .0808938{col 34}{space 2} .0378276{col 45}{space 1}    2.14{col 54}{space 3}0.061{col 62}{space 4}-.0046781{col 75}{space 3} .1664658
{txt}{space 17}age {c |}{col 22}{res}{space 2}  .000084{col 34}{space 2} .0011613{col 45}{space 1}    0.07{col 54}{space 3}0.944{col 62}{space 4}-.0025431{col 75}{space 3} .0027111
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.0160656{col 34}{space 2} .0218488{col 45}{space 1}   -0.74{col 54}{space 3}0.481{col 62}{space 4}-.0654911{col 75}{space 3} .0333599
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} .0837825{col 34}{space 2} .0233749{col 45}{space 1}    3.58{col 54}{space 3}0.006{col 62}{space 4} .0309047{col 75}{space 3} .1366602
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2}-.0656075{col 34}{space 2} .0372086{col 45}{space 1}   -1.76{col 54}{space 3}0.112{col 62}{space 4}-.1497791{col 75}{space 3} .0185642
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2}-.0286931{col 34}{space 2}  .027916{col 45}{space 1}   -1.03{col 54}{space 3}0.331{col 62}{space 4}-.0918435{col 75}{space 3} .0344574
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2} -.037798{col 34}{space 2} .0099613{col 45}{space 1}   -3.79{col 54}{space 3}0.004{col 62}{space 4}-.0603319{col 75}{space 3}-.0152641
{txt}football_consumption {c |}{col 22}{res}{space 2} .0596583{col 34}{space 2} .0132161{col 45}{space 1}    4.51{col 54}{space 3}0.001{col 62}{space 4} .0297614{col 75}{space 3} .0895552
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}  -.05808{col 34}{space 2} .0158742{col 45}{space 1}   -3.66{col 54}{space 3}0.005{col 62}{space 4}  -.09399{col 75}{space 3}  -.02217
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .0449416{col 34}{space 2} .0338752{col 45}{space 1}    1.33{col 54}{space 3}0.217{col 62}{space 4}-.0316895{col 75}{space 3} .1215727
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .2445725{col 34}{space 2} .0376667{col 45}{space 1}    6.49{col 54}{space 3}0.000{col 62}{space 4} .1593645{col 75}{space 3} .3297806
{txt}{space 4}world_regions_us {c |}{col 22}{res}{space 2} .1226167{col 34}{space 2}  .032785{col 45}{space 1}    3.74{col 54}{space 3}0.005{col 62}{space 4} .0484518{col 75}{space 3} .1967816
{txt}{space 2}world_regions_asia {c |}{col 22}{res}{space 2} .2855559{col 34}{space 2} .0290235{col 45}{space 1}    9.84{col 54}{space 3}0.000{col 62}{space 4} .2199001{col 75}{space 3} .3512117
{txt}world_regions_europe {c |}{col 22}{res}{space 2}-.0398657{col 34}{space 2}  .026341{col 45}{space 1}   -1.51{col 54}{space 3}0.164{col 62}{space 4}-.0994531{col 75}{space 3} .0197217
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} .6766965{col 34}{space 2} .1370965{col 45}{space 1}    4.94{col 54}{space 3}0.001{col 62}{space 4} .3665628{col 75}{space 3} .9868303
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         
.         *Model 2
.         reg world_regions_asia wave $controls_3 world_regions_russia world_regions_arab world_regions_us world_regions_europe , cluster(plz_num) 

{txt}Linear regression                               Number of obs     = {res}     1,905
                                                {txt}{help j_robustsingular:F(8, 9) }          =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.2746
                                                {txt}Root MSE          =    {res} .61095

{txt}{ralign 86:(Std. Err. adjusted for {res:10} clusters in plz_num)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}  world_regions_asia{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.0314666{col 34}{space 2} .0320509{col 45}{space 1}   -0.98{col 54}{space 3}0.352{col 62}{space 4}-.1039708{col 75}{space 3} .0410377
{txt}{space 17}age {c |}{col 22}{res}{space 2}-.0018249{col 34}{space 2} .0009844{col 45}{space 1}   -1.85{col 54}{space 3}0.097{col 62}{space 4}-.0040518{col 75}{space 3}  .000402
{txt}{space 16}male {c |}{col 22}{res}{space 2}   .08562{col 34}{space 2} .0133316{col 45}{space 1}    6.42{col 54}{space 3}0.000{col 62}{space 4} .0554619{col 75}{space 3} .1157782
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} .0220403{col 34}{space 2} .0158155{col 45}{space 1}    1.39{col 54}{space 3}0.197{col 62}{space 4}-.0137368{col 75}{space 3} .0578175
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .0860786{col 34}{space 2} .0465182{col 45}{space 1}    1.85{col 54}{space 3}0.097{col 62}{space 4}-.0191528{col 75}{space 3}   .19131
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0350199{col 34}{space 2} .0158238{col 45}{space 1}    2.21{col 54}{space 3}0.054{col 62}{space 4}-.0007761{col 75}{space 3} .0708158
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.0167569{col 34}{space 2} .0092182{col 45}{space 1}   -1.82{col 54}{space 3}0.102{col 62}{space 4}  -.03761{col 75}{space 3} .0040961
{txt}football_consumption {c |}{col 22}{res}{space 2}-.0280556{col 34}{space 2} .0130101{col 45}{space 1}   -2.16{col 54}{space 3}0.059{col 62}{space 4}-.0574865{col 75}{space 3} .0013753
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2} .0102843{col 34}{space 2}  .023353{col 45}{space 1}    0.44{col 54}{space 3}0.670{col 62}{space 4}-.0425438{col 75}{space 3} .0631123
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .0669936{col 34}{space 2} .0521977{col 45}{space 1}    1.28{col 54}{space 3}0.231{col 62}{space 4}-.0510857{col 75}{space 3}  .185073
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .1786111{col 34}{space 2} .0152513{col 45}{space 1}   11.71{col 54}{space 3}0.000{col 62}{space 4} .1441104{col 75}{space 3} .2131119
{txt}{space 2}world_regions_arab {c |}{col 22}{res}{space 2} .2541388{col 34}{space 2} .0260046{col 45}{space 1}    9.77{col 54}{space 3}0.000{col 62}{space 4} .1953123{col 75}{space 3} .3129653
{txt}{space 4}world_regions_us {c |}{col 22}{res}{space 2} .1403759{col 34}{space 2} .0194519{col 45}{space 1}    7.22{col 54}{space 3}0.000{col 62}{space 4} .0963727{col 75}{space 3} .1843791
{txt}world_regions_europe {c |}{col 22}{res}{space 2} .1797981{col 34}{space 2} .0322472{col 45}{space 1}    5.58{col 54}{space 3}0.000{col 62}{space 4} .1068498{col 75}{space 3} .2527464
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} .8519558{col 34}{space 2} .1503719{col 45}{space 1}    5.67{col 54}{space 3}0.000{col 62}{space 4} .5117911{col 75}{space 3} 1.192121
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 
.         *Model 3
.         reg world_regions_europe wave $controls_3 world_regions_russia world_regions_arab world_regions_asia world_regions_us , cluster(plz_num) 

{txt}Linear regression                               Number of obs     = {res}     1,905
                                                {txt}{help j_robustsingular:F(8, 9) }          =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.2451
                                                {txt}Root MSE          =    {res} .60282

{txt}{ralign 86:(Std. Err. adjusted for {res:10} clusters in plz_num)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}world_regions_europe{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.0063262{col 34}{space 2} .0298504{col 45}{space 1}   -0.21{col 54}{space 3}0.837{col 62}{space 4}-.0738524{col 75}{space 3}    .0612
{txt}{space 17}age {c |}{col 22}{res}{space 2} .0044543{col 34}{space 2} .0011473{col 45}{space 1}    3.88{col 54}{space 3}0.004{col 62}{space 4}  .001859{col 75}{space 3} .0070496
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.0235023{col 34}{space 2} .0404814{col 45}{space 1}   -0.58{col 54}{space 3}0.576{col 62}{space 4}-.1150777{col 75}{space 3}  .068073
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} .1393852{col 34}{space 2} .0200744{col 45}{space 1}    6.94{col 54}{space 3}0.000{col 62}{space 4} .0939739{col 75}{space 3} .1847966
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .0241809{col 34}{space 2} .0255468{col 45}{space 1}    0.95{col 54}{space 3}0.369{col 62}{space 4}  -.03361{col 75}{space 3} .0819718
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0912315{col 34}{space 2} .0164427{col 45}{space 1}    5.55{col 54}{space 3}0.000{col 62}{space 4} .0540355{col 75}{space 3} .1284275
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2} -.000218{col 34}{space 2} .0075551{col 45}{space 1}   -0.03{col 54}{space 3}0.978{col 62}{space 4}-.0173087{col 75}{space 3} .0168728
{txt}football_consumption {c |}{col 22}{res}{space 2}-.0104213{col 34}{space 2} .0173629{col 45}{space 1}   -0.60{col 54}{space 3}0.563{col 62}{space 4}-.0496989{col 75}{space 3} .0288564
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2} .0907284{col 34}{space 2} .0215447{col 45}{space 1}    4.21{col 54}{space 3}0.002{col 62}{space 4} .0419909{col 75}{space 3}  .139466
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2}-.1178065{col 34}{space 2} .0599641{col 45}{space 1}   -1.96{col 54}{space 3}0.081{col 62}{space 4}-.2534547{col 75}{space 3} .0178418
{txt}world_regions_russia {c |}{col 22}{res}{space 2}-.0672808{col 34}{space 2} .0127679{col 45}{space 1}   -5.27{col 54}{space 3}0.001{col 62}{space 4}-.0961637{col 75}{space 3}-.0383978
{txt}{space 2}world_regions_arab {c |}{col 22}{res}{space 2}-.0345415{col 34}{space 2} .0223222{col 45}{space 1}   -1.55{col 54}{space 3}0.156{col 62}{space 4}-.0850378{col 75}{space 3} .0159549
{txt}{space 2}world_regions_asia {c |}{col 22}{res}{space 2} .1750437{col 34}{space 2} .0295252{col 45}{space 1}    5.93{col 54}{space 3}0.000{col 62}{space 4} .1082531{col 75}{space 3} .2418344
{txt}{space 4}world_regions_us {c |}{col 22}{res}{space 2} .2796871{col 34}{space 2} .0252249{col 45}{space 1}   11.09{col 54}{space 3}0.000{col 62}{space 4} .2226245{col 75}{space 3} .3367498
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 1.153966{col 34}{space 2} .1058274{col 45}{space 1}   10.90{col 54}{space 3}0.000{col 62}{space 4} .9145678{col 75}{space 3} 1.393364
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         
.         *Model 4
.         reg world_regions_us wave $controls_3 world_regions_russia world_regions_arab world_regions_asia world_regions_europe , cluster(plz_num) 

{txt}Linear regression                               Number of obs     = {res}     1,905
                                                {txt}{help j_robustsingular:F(8, 9) }          =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.2036
                                                {txt}Root MSE          =    {res} .68899

{txt}{ralign 86:(Std. Err. adjusted for {res:10} clusters in plz_num)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}    world_regions_us{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.0420794{col 34}{space 2} .0322175{col 45}{space 1}   -1.31{col 54}{space 3}0.224{col 62}{space 4}-.1149604{col 75}{space 3} .0308017
{txt}{space 17}age {c |}{col 22}{res}{space 2}-.0020895{col 34}{space 2} .0014587{col 45}{space 1}   -1.43{col 54}{space 3}0.186{col 62}{space 4}-.0053893{col 75}{space 3} .0012104
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.0378053{col 34}{space 2} .0463925{col 45}{space 1}   -0.81{col 54}{space 3}0.436{col 62}{space 4}-.1427524{col 75}{space 3} .0671418
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}-.0731577{col 34}{space 2} .0228625{col 45}{space 1}   -3.20{col 54}{space 3}0.011{col 62}{space 4}-.1248763{col 75}{space 3}-.0214392
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} -.165277{col 34}{space 2} .0349426{col 45}{space 1}   -4.73{col 54}{space 3}0.001{col 62}{space 4}-.2443226{col 75}{space 3}-.0862314
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2}-.0154774{col 34}{space 2} .0192553{col 45}{space 1}   -0.80{col 54}{space 3}0.442{col 62}{space 4} -.059036{col 75}{space 3} .0280812
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2} .0199592{col 34}{space 2} .0092687{col 45}{space 1}    2.15{col 54}{space 3}0.060{col 62}{space 4}-.0010081{col 75}{space 3} .0409264
{txt}football_consumption {c |}{col 22}{res}{space 2} .0464166{col 34}{space 2} .0104543{col 45}{space 1}    4.44{col 54}{space 3}0.002{col 62}{space 4} .0227674{col 75}{space 3} .0700659
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}-.0513753{col 34}{space 2} .0157332{col 45}{space 1}   -3.27{col 54}{space 3}0.010{col 62}{space 4}-.0869662{col 75}{space 3}-.0157844
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2}-.1167671{col 34}{space 2} .0559018{col 45}{space 1}   -2.09{col 54}{space 3}0.066{col 62}{space 4}-.2432257{col 75}{space 3} .0096914
{txt}world_regions_russia {c |}{col 22}{res}{space 2}-.0836189{col 34}{space 2} .0186995{col 45}{space 1}   -4.47{col 54}{space 3}0.002{col 62}{space 4}-.1259202{col 75}{space 3}-.0413177
{txt}{space 2}world_regions_arab {c |}{col 22}{res}{space 2} .1387879{col 34}{space 2} .0386107{col 45}{space 1}    3.59{col 54}{space 3}0.006{col 62}{space 4} .0514444{col 75}{space 3} .2261314
{txt}{space 2}world_regions_asia {c |}{col 22}{res}{space 2} .1785314{col 34}{space 2} .0243353{col 45}{space 1}    7.34{col 54}{space 3}0.000{col 62}{space 4} .1234811{col 75}{space 3} .2335817
{txt}world_regions_europe {c |}{col 22}{res}{space 2} .3653702{col 34}{space 2} .0305191{col 45}{space 1}   11.97{col 54}{space 3}0.000{col 62}{space 4} .2963311{col 75}{space 3} .4344093
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 1.204335{col 34}{space 2} .1385257{col 45}{space 1}    8.69{col 54}{space 3}0.000{col 62}{space 4} .8909679{col 75}{space 3} 1.517701
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 
.         
.         ****************************************************************************
.         *Table A.6.14. Clustered standard errors: World Cup start and change of opinions about German media and boycott with control for opening ceremony
.         ****************************************************************************    
.         
.         *Control variables
.         #delimit ;
{txt}delimiter now ;
{com}.         global controls_4 = "
>                                                  age
>                                                  male
>                                                  education3 
>                                                  mig_backg 
>                                                  pol_interest 
>                                                  pol_left_right 
>                                                  football_consumption 
>                                                  football_reports
>                                                  born_gdr
>                                                  world_regions_russia
>                                                  "
>         ;
{txt}
{com}.         #delimit cr     
{txt}delimiter now cr
{com}.                                                         
.         *Dependent variables
.         #delimit ;
{txt}delimiter now ;
{com}.         tokenize                           "
>                                                    qat_state_2_speech
>                                                    qat_state_2_critic
>                                                    pol_media_opinion
>                                                    football_boycott_pol 
>                                                    ";
{txt}
{com}.         #delimit cr     
{txt}delimiter now cr
{com}. 
.         *Models 1-4
.         forval j=1/4  {c -(} 
{txt}  2{com}.         
.         reg ``j'' wave $controls_4 , cluster(plz_num)
{txt}  3{com}.                 
.         {c )-}

{txt}Linear regression                               Number of obs     = {res}     1,917
                                                {txt}{help j_robustsingular:F(8, 9) }          =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.1692
                                                {txt}Root MSE          =    {res} 1.1017

{txt}{ralign 86:(Std. Err. adjusted for {res:10} clusters in plz_num)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}  qat_state_2_speech{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2} .1231924{col 34}{space 2} .0357186{col 45}{space 1}    3.45{col 54}{space 3}0.007{col 62}{space 4} .0423912{col 75}{space 3} .2039936
{txt}{space 17}age {c |}{col 22}{res}{space 2} -.005493{col 34}{space 2} .0011805{col 45}{space 1}   -4.65{col 54}{space 3}0.001{col 62}{space 4}-.0081634{col 75}{space 3}-.0028226
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.0907184{col 34}{space 2} .0561955{col 45}{space 1}   -1.61{col 54}{space 3}0.141{col 62}{space 4}-.2178415{col 75}{space 3} .0364046
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}-.1624473{col 34}{space 2} .0420915{col 45}{space 1}   -3.86{col 54}{space 3}0.004{col 62}{space 4}-.2576649{col 75}{space 3}-.0672297
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .1152227{col 34}{space 2} .0541461{col 45}{space 1}    2.13{col 54}{space 3}0.062{col 62}{space 4}-.0072643{col 75}{space 3} .2377097
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0395238{col 34}{space 2} .0419196{col 45}{space 1}    0.94{col 54}{space 3}0.370{col 62}{space 4}-.0553049{col 75}{space 3} .1343525
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2} .0901143{col 34}{space 2} .0172086{col 45}{space 1}    5.24{col 54}{space 3}0.001{col 62}{space 4} .0511856{col 75}{space 3} .1290429
{txt}football_consumption {c |}{col 22}{res}{space 2}  .057372{col 34}{space 2} .0183002{col 45}{space 1}    3.14{col 54}{space 3}0.012{col 62}{space 4} .0159742{col 75}{space 3} .0987699
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}-.1861589{col 34}{space 2} .0461766{col 45}{space 1}   -4.03{col 54}{space 3}0.003{col 62}{space 4}-.2906177{col 75}{space 3}-.0817001
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .1965386{col 34}{space 2} .0902204{col 45}{space 1}    2.18{col 54}{space 3}0.057{col 62}{space 4}-.0075543{col 75}{space 3} .4006314
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .3969414{col 34}{space 2} .0408502{col 45}{space 1}    9.72{col 54}{space 3}0.000{col 62}{space 4} .3045317{col 75}{space 3}  .489351
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 1.778967{col 34}{space 2}  .237552{col 45}{space 1}    7.49{col 54}{space 3}0.000{col 62}{space 4} 1.241587{col 75}{space 3} 2.316347
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Linear regression                               Number of obs     = {res}     1,917
                                                {txt}{help j_robustsingular:F(8, 9) }          =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.1011
                                                {txt}Root MSE          =    {res} 1.1477

{txt}{ralign 86:(Std. Err. adjusted for {res:10} clusters in plz_num)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}  qat_state_2_critic{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2} .1129076{col 34}{space 2} .0390125{col 45}{space 1}    2.89{col 54}{space 3}0.018{col 62}{space 4} .0246553{col 75}{space 3}   .20116
{txt}{space 17}age {c |}{col 22}{res}{space 2}-.0036577{col 34}{space 2} .0024544{col 45}{space 1}   -1.49{col 54}{space 3}0.170{col 62}{space 4}-.0092099{col 75}{space 3} .0018945
{txt}{space 16}male {c |}{col 22}{res}{space 2}  -.05688{col 34}{space 2} .0420058{col 45}{space 1}   -1.35{col 54}{space 3}0.209{col 62}{space 4}-.1519037{col 75}{space 3} .0381437
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} -.069635{col 34}{space 2} .0277973{col 45}{space 1}   -2.51{col 54}{space 3}0.034{col 62}{space 4} -.132517{col 75}{space 3}-.0067531
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .0657306{col 34}{space 2} .0429211{col 45}{space 1}    1.53{col 54}{space 3}0.160{col 62}{space 4}-.0313636{col 75}{space 3} .1628248
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2}  .013281{col 34}{space 2} .0283287{col 45}{space 1}    0.47{col 54}{space 3}0.650{col 62}{space 4}-.0508029{col 75}{space 3} .0773649
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}  .046807{col 34}{space 2} .0152996{col 45}{space 1}    3.06{col 54}{space 3}0.014{col 62}{space 4} .0121968{col 75}{space 3} .0814172
{txt}football_consumption {c |}{col 22}{res}{space 2} .0963522{col 34}{space 2} .0128297{col 45}{space 1}    7.51{col 54}{space 3}0.000{col 62}{space 4} .0673294{col 75}{space 3}  .125375
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}-.1980665{col 34}{space 2} .0290547{col 45}{space 1}   -6.82{col 54}{space 3}0.000{col 62}{space 4}-.2637928{col 75}{space 3}-.1323402
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .2157608{col 34}{space 2} .0581402{col 45}{space 1}    3.71{col 54}{space 3}0.005{col 62}{space 4} .0842386{col 75}{space 3} .3472831
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .2943746{col 34}{space 2} .0482451{col 45}{space 1}    6.10{col 54}{space 3}0.000{col 62}{space 4} .1852367{col 75}{space 3} .4035125
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 2.083666{col 34}{space 2} .1875189{col 45}{space 1}   11.11{col 54}{space 3}0.000{col 62}{space 4} 1.659469{col 75}{space 3} 2.507864
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Linear regression                               Number of obs     = {res}     1,920
                                                {txt}{help j_robustsingular:F(8, 9) }          =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.0934
                                                {txt}Root MSE          =    {res} 1.0713

{txt}{ralign 86:(Std. Err. adjusted for {res:10} clusters in plz_num)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}   pol_media_opinion{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2} .1058985{col 34}{space 2} .0527426{col 45}{space 1}    2.01{col 54}{space 3}0.076{col 62}{space 4}-.0134136{col 75}{space 3} .2252106
{txt}{space 17}age {c |}{col 22}{res}{space 2}-.0012096{col 34}{space 2}  .001983{col 45}{space 1}   -0.61{col 54}{space 3}0.557{col 62}{space 4}-.0056955{col 75}{space 3} .0032763
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.0098843{col 34}{space 2} .0430591{col 45}{space 1}   -0.23{col 54}{space 3}0.824{col 62}{space 4}-.1072907{col 75}{space 3} .0875221
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}-.0327758{col 34}{space 2}  .042578{col 45}{space 1}   -0.77{col 54}{space 3}0.461{col 62}{space 4} -.129094{col 75}{space 3} .0635424
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .1284716{col 34}{space 2} .0741298{col 45}{space 1}    1.73{col 54}{space 3}0.117{col 62}{space 4}-.0392217{col 75}{space 3}  .296165
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0159883{col 34}{space 2} .0490425{col 45}{space 1}    0.33{col 54}{space 3}0.752{col 62}{space 4}-.0949534{col 75}{space 3} .1269301
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2} .0868265{col 34}{space 2} .0163724{col 45}{space 1}    5.30{col 54}{space 3}0.000{col 62}{space 4} .0497896{col 75}{space 3} .1238634
{txt}football_consumption {c |}{col 22}{res}{space 2} .0175038{col 34}{space 2}  .021814{col 45}{space 1}    0.80{col 54}{space 3}0.443{col 62}{space 4}-.0318428{col 75}{space 3} .0668505
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2} .0196023{col 34}{space 2}  .021826{col 45}{space 1}    0.90{col 54}{space 3}0.393{col 62}{space 4}-.0297715{col 75}{space 3}  .068976
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .1331688{col 34}{space 2} .0313435{col 45}{space 1}    4.25{col 54}{space 3}0.002{col 62}{space 4} .0622648{col 75}{space 3} .2040728
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .2941803{col 34}{space 2} .0349992{col 45}{space 1}    8.41{col 54}{space 3}0.000{col 62}{space 4} .2150066{col 75}{space 3} .3733539
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 2.093348{col 34}{space 2} .1337235{col 45}{space 1}   15.65{col 54}{space 3}0.000{col 62}{space 4} 1.790844{col 75}{space 3} 2.395852
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Linear regression                               Number of obs     = {res}     1,927
                                                {txt}{help j_robustsingular:F(8, 9) }          =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.1017
                                                {txt}Root MSE          =    {res} 1.1548

{txt}{ralign 86:(Std. Err. adjusted for {res:10} clusters in plz_num)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}football_boycott_pol{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.1334411{col 34}{space 2}  .044166{col 45}{space 1}   -3.02{col 54}{space 3}0.014{col 62}{space 4}-.2333516{col 75}{space 3}-.0335306
{txt}{space 17}age {c |}{col 22}{res}{space 2} .0059979{col 34}{space 2} .0025529{col 45}{space 1}    2.35{col 54}{space 3}0.043{col 62}{space 4} .0002229{col 75}{space 3} .0117729
{txt}{space 16}male {c |}{col 22}{res}{space 2}  .005144{col 34}{space 2}  .047826{col 45}{space 1}    0.11{col 54}{space 3}0.917{col 62}{space 4}-.1030459{col 75}{space 3}  .113334
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} .0513127{col 34}{space 2} .0419359{col 45}{space 1}    1.22{col 54}{space 3}0.252{col 62}{space 4} -.043553{col 75}{space 3} .1461783
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2}-.2074037{col 34}{space 2}  .063562{col 45}{space 1}   -3.26{col 54}{space 3}0.010{col 62}{space 4} -.351191{col 75}{space 3}-.0636165
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0286756{col 34}{space 2} .0355313{col 45}{space 1}    0.81{col 54}{space 3}0.440{col 62}{space 4}-.0517018{col 75}{space 3} .1090529
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.0578138{col 34}{space 2}  .016748{col 45}{space 1}   -3.45{col 54}{space 3}0.007{col 62}{space 4}-.0957004{col 75}{space 3}-.0199271
{txt}football_consumption {c |}{col 22}{res}{space 2}-.1294254{col 34}{space 2} .0271705{col 45}{space 1}   -4.76{col 54}{space 3}0.001{col 62}{space 4}-.1908894{col 75}{space 3}-.0679614
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2} .2427506{col 34}{space 2} .0260245{col 45}{space 1}    9.33{col 54}{space 3}0.000{col 62}{space 4} .1838791{col 75}{space 3} .3016221
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2}-.1644458{col 34}{space 2} .0496463{col 45}{space 1}   -3.31{col 54}{space 3}0.009{col 62}{space 4}-.2767535{col 75}{space 3} -.052138
{txt}world_regions_russia {c |}{col 22}{res}{space 2} -.215006{col 34}{space 2} .0370482{col 45}{space 1}   -5.80{col 54}{space 3}0.000{col 62}{space 4}-.2988149{col 75}{space 3}-.1311971
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 3.720031{col 34}{space 2} .1741843{col 45}{space 1}   21.36{col 54}{space 3}0.000{col 62}{space 4} 3.325999{col 75}{space 3} 4.114063
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         
.         
.         ****************************************************************************
.         *Table A.6.15. Clustered standard errors: World Cup start and change of political opinions with control for opening ceremony
.         ****************************************************************************    
.                 
.         *Control variables
.         #delimit ;
{txt}delimiter now ;
{com}.         global controls_5 = "
>                                                  age
>                                                  male
>                                                  education3 
>                                                  mig_backg 
>                                                  pol_interest 
>                                                  pol_left_right 
>                                                  football_consumption 
>                                                  football_reports
>                                                  born_gdr
>                                                  world_regions_russia
>                                                  "
>         ;
{txt}
{com}.         #delimit cr     
{txt}delimiter now cr
{com}.         
.         *Dependent variables
.         #delimit ;
{txt}delimiter now ;
{com}.         tokenize                           "    
>                                                    pol_woke_female
>                                                    pol_xeno_mosque
>                                                    pol_woke_homo
>                                                    pol_xeno_security
>                                                    ";
{txt}
{com}.         #delimit cr                                                        
{txt}delimiter now cr
{com}. 
.         *Models 1-4
.         forval j=1/4  {c -(} 
{txt}  2{com}.         
.         reg ``j'' wave $controls_5 , cluster(plz_num)
{txt}  3{com}.                 
.         {c )-}       

{txt}Linear regression                               Number of obs     = {res}     1,922
                                                {txt}{help j_robustsingular:F(8, 9) }          =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.0844
                                                {txt}Root MSE          =    {res} 1.0212

{txt}{ralign 86:(Std. Err. adjusted for {res:10} clusters in plz_num)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}     pol_woke_female{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2} .0025335{col 34}{space 2} .0470338{col 45}{space 1}    0.05{col 54}{space 3}0.958{col 62}{space 4}-.1038644{col 75}{space 3} .1089314
{txt}{space 17}age {c |}{col 22}{res}{space 2} .0046408{col 34}{space 2} .0021117{col 45}{space 1}    2.20{col 54}{space 3}0.056{col 62}{space 4}-.0001362{col 75}{space 3} .0094179
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.3929265{col 34}{space 2}  .071288{col 45}{space 1}   -5.51{col 54}{space 3}0.000{col 62}{space 4}-.5541912{col 75}{space 3}-.2316618
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}-.0639922{col 34}{space 2} .0275841{col 45}{space 1}   -2.32{col 54}{space 3}0.045{col 62}{space 4}-.1263918{col 75}{space 3}-.0015926
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .0550231{col 34}{space 2} .0820349{col 45}{space 1}    0.67{col 54}{space 3}0.519{col 62}{space 4}-.1305527{col 75}{space 3}  .240599
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} -.020138{col 34}{space 2} .0257182{col 45}{space 1}   -0.78{col 54}{space 3}0.454{col 62}{space 4}-.0783166{col 75}{space 3} .0380407
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.1029365{col 34}{space 2} .0114953{col 45}{space 1}   -8.95{col 54}{space 3}0.000{col 62}{space 4}-.1289407{col 75}{space 3}-.0769324
{txt}football_consumption {c |}{col 22}{res}{space 2}-.0032434{col 34}{space 2}  .018333{col 45}{space 1}   -0.18{col 54}{space 3}0.863{col 62}{space 4}-.0447156{col 75}{space 3} .0382287
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2} .0156211{col 34}{space 2} .0287042{col 45}{space 1}    0.54{col 54}{space 3}0.600{col 62}{space 4}-.0493124{col 75}{space 3} .0805546
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2}-.0905031{col 34}{space 2} .0585358{col 45}{space 1}   -1.55{col 54}{space 3}0.156{col 62}{space 4}-.2229202{col 75}{space 3} .0419141
{txt}world_regions_russia {c |}{col 22}{res}{space 2}-.0293041{col 34}{space 2} .0377205{col 45}{space 1}   -0.78{col 54}{space 3}0.457{col 62}{space 4}-.1146338{col 75}{space 3} .0560257
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 3.996127{col 34}{space 2} .1666487{col 45}{space 1}   23.98{col 54}{space 3}0.000{col 62}{space 4} 3.619141{col 75}{space 3} 4.373113
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Linear regression                               Number of obs     = {res}     1,911
                                                {txt}{help j_robustsingular:F(8, 9) }          =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.1204
                                                {txt}Root MSE          =    {res} 1.2036

{txt}{ralign 86:(Std. Err. adjusted for {res:10} clusters in plz_num)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}     pol_xeno_mosque{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.0231777{col 34}{space 2} .0513047{col 45}{space 1}   -0.45{col 54}{space 3}0.662{col 62}{space 4} -.139237{col 75}{space 3} .0928815
{txt}{space 17}age {c |}{col 22}{res}{space 2}-.0094333{col 34}{space 2} .0032091{col 45}{space 1}   -2.94{col 54}{space 3}0.016{col 62}{space 4}-.0166927{col 75}{space 3}-.0021739
{txt}{space 16}male {c |}{col 22}{res}{space 2} .0474177{col 34}{space 2}  .055016{col 45}{space 1}    0.86{col 54}{space 3}0.411{col 62}{space 4}-.0770371{col 75}{space 3} .1718726
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} .2005886{col 34}{space 2}   .06383{col 45}{space 1}    3.14{col 54}{space 3}0.012{col 62}{space 4} .0561951{col 75}{space 3} .3449821
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .0322978{col 34}{space 2} .1028565{col 45}{space 1}    0.31{col 54}{space 3}0.761{col 62}{space 4}-.2003797{col 75}{space 3} .2649752
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2}-.0011765{col 34}{space 2} .0350386{col 45}{space 1}   -0.03{col 54}{space 3}0.974{col 62}{space 4}-.0804393{col 75}{space 3} .0780863
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.1704477{col 34}{space 2} .0135686{col 45}{space 1}  -12.56{col 54}{space 3}0.000{col 62}{space 4} -.201142{col 75}{space 3}-.1397534
{txt}football_consumption {c |}{col 22}{res}{space 2} .0748341{col 34}{space 2} .0281071{col 45}{space 1}    2.66{col 54}{space 3}0.026{col 62}{space 4} .0112513{col 75}{space 3} .1384168
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}-.0399057{col 34}{space 2} .0364159{col 45}{space 1}   -1.10{col 54}{space 3}0.302{col 62}{space 4}-.1222841{col 75}{space 3} .0424726
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2}-.1480513{col 34}{space 2} .0532502{col 45}{space 1}   -2.78{col 54}{space 3}0.021{col 62}{space 4}-.2685116{col 75}{space 3}-.0275909
{txt}world_regions_russia {c |}{col 22}{res}{space 2}  .126396{col 34}{space 2} .0272135{col 45}{space 1}    4.64{col 54}{space 3}0.001{col 62}{space 4} .0648347{col 75}{space 3} .1879573
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 3.118942{col 34}{space 2} .2069732{col 45}{space 1}   15.07{col 54}{space 3}0.000{col 62}{space 4} 2.650736{col 75}{space 3} 3.587148
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Linear regression                               Number of obs     = {res}     1,923
                                                {txt}{help j_robustsingular:F(8, 9) }          =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.1526
                                                {txt}Root MSE          =    {res} 1.2388

{txt}{ralign 86:(Std. Err. adjusted for {res:10} clusters in plz_num)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}       pol_woke_homo{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2} .1456113{col 34}{space 2} .0618636{col 45}{space 1}    2.35{col 54}{space 3}0.043{col 62}{space 4}  .005666{col 75}{space 3} .2855566
{txt}{space 17}age {c |}{col 22}{res}{space 2}-.0015136{col 34}{space 2} .0027184{col 45}{space 1}   -0.56{col 54}{space 3}0.591{col 62}{space 4}-.0076631{col 75}{space 3}  .004636
{txt}{space 16}male {c |}{col 22}{res}{space 2} .2596364{col 34}{space 2} .0862651{col 45}{space 1}    3.01{col 54}{space 3}0.015{col 62}{space 4} .0644913{col 75}{space 3} .4547816
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} -.150481{col 34}{space 2} .0243548{col 45}{space 1}   -6.18{col 54}{space 3}0.000{col 62}{space 4}-.2055753{col 75}{space 3}-.0953867
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .2509863{col 34}{space 2} .0835841{col 45}{space 1}    3.00{col 54}{space 3}0.015{col 62}{space 4} .0619058{col 75}{space 3} .4400668
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0954213{col 34}{space 2} .0313016{col 45}{space 1}    3.05{col 54}{space 3}0.014{col 62}{space 4} .0246123{col 75}{space 3} .1662304
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2} .1754207{col 34}{space 2} .0204007{col 45}{space 1}    8.60{col 54}{space 3}0.000{col 62}{space 4} .1292711{col 75}{space 3} .2215702
{txt}football_consumption {c |}{col 22}{res}{space 2} .0653452{col 34}{space 2} .0304834{col 45}{space 1}    2.14{col 54}{space 3}0.061{col 62}{space 4}-.0036132{col 75}{space 3} .1343036
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}-.1134282{col 34}{space 2} .0393058{col 45}{space 1}   -2.89{col 54}{space 3}0.018{col 62}{space 4} -.202344{col 75}{space 3}-.0245124
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .0919097{col 34}{space 2} .0625711{col 45}{space 1}    1.47{col 54}{space 3}0.176{col 62}{space 4} -.049636{col 75}{space 3} .2334553
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .2563122{col 34}{space 2} .0362537{col 45}{space 1}    7.07{col 54}{space 3}0.000{col 62}{space 4} .1743005{col 75}{space 3} .3383238
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 1.341472{col 34}{space 2} .1274113{col 45}{space 1}   10.53{col 54}{space 3}0.000{col 62}{space 4} 1.053248{col 75}{space 3} 1.629696
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Linear regression                               Number of obs     = {res}     1,914
                                                {txt}{help j_robustsingular:F(8, 9) }          =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.1411
                                                {txt}Root MSE          =    {res} 1.1819

{txt}{ralign 86:(Std. Err. adjusted for {res:10} clusters in plz_num)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}   pol_xeno_security{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2} .1230766{col 34}{space 2} .0486872{col 45}{space 1}    2.53{col 54}{space 3}0.032{col 62}{space 4} .0129386{col 75}{space 3} .2332146
{txt}{space 17}age {c |}{col 22}{res}{space 2} .0034964{col 34}{space 2} .0033712{col 45}{space 1}    1.04{col 54}{space 3}0.327{col 62}{space 4}-.0041299{col 75}{space 3} .0111226
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.0717825{col 34}{space 2} .0582603{col 45}{space 1}   -1.23{col 54}{space 3}0.249{col 62}{space 4}-.2035766{col 75}{space 3} .0600115
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}-.2510773{col 34}{space 2}  .032108{col 45}{space 1}   -7.82{col 54}{space 3}0.000{col 62}{space 4}-.3237106{col 75}{space 3}-.1784439
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2}-.0771147{col 34}{space 2}  .089656{col 45}{space 1}   -0.86{col 54}{space 3}0.412{col 62}{space 4}-.2799307{col 75}{space 3} .1257014
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0649145{col 34}{space 2} .0393376{col 45}{space 1}    1.65{col 54}{space 3}0.133{col 62}{space 4}-.0240733{col 75}{space 3} .1539023
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}  .193339{col 34}{space 2} .0267901{col 45}{space 1}    7.22{col 54}{space 3}0.000{col 62}{space 4} .1327356{col 75}{space 3} .2539423
{txt}football_consumption {c |}{col 22}{res}{space 2} .0120518{col 34}{space 2} .0281376{col 45}{space 1}    0.43{col 54}{space 3}0.678{col 62}{space 4}-.0515999{col 75}{space 3} .0757035
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}-.0305457{col 34}{space 2} .0440795{col 45}{space 1}   -0.69{col 54}{space 3}0.506{col 62}{space 4}-.1302604{col 75}{space 3} .0691691
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .1232253{col 34}{space 2} .0481968{col 45}{space 1}    2.56{col 54}{space 3}0.031{col 62}{space 4} .0141965{col 75}{space 3} .2322541
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .1156059{col 34}{space 2} .0291366{col 45}{space 1}    3.97{col 54}{space 3}0.003{col 62}{space 4} .0496942{col 75}{space 3} .1815176
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 2.083954{col 34}{space 2}  .219406{col 45}{space 1}    9.50{col 54}{space 3}0.000{col 62}{space 4} 1.587623{col 75}{space 3} 2.580285
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         
.         
.         ****************************************************************************
.         *Table A.6.16. Reduced sample: Watching the start of the World Cup
.         ****************************************************************************    
.                 
.         *Control variables
.         #delimit ;
{txt}delimiter now ;
{com}.         global controls_1 = "
>                                                  age
>                                                  male 
>                                                  education3 
>                                                  mig_backg 
>                                                  pol_interest 
>                                                  pol_left_right 
>                                                  football_consumption   
>                                                  football_reports
>                                                  born_gdr
>                                                  world_regions_russia
>                                                  "
>         ;
{txt}
{com}.         #delimit cr
{txt}delimiter now cr
{com}. 
.         *Model 1  
.         reg football_opening_cat $controls_1 if wave==0 & resond_slowfast!=1, robust

{txt}Linear regression                               Number of obs     = {res}       884
                                                {txt}F(10, 873)        =  {res}    27.24
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.2310
                                                {txt}Root MSE          =    {res} .65292

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}football_opening_cat{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 17}age {c |}{col 22}{res}{space 2}-.0056457{col 34}{space 2}  .001546{col 45}{space 1}   -3.65{col 54}{space 3}0.000{col 62}{space 4}  -.00868{col 75}{space 3}-.0026115
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.0706271{col 34}{space 2} .0464066{col 45}{space 1}   -1.52{col 54}{space 3}0.128{col 62}{space 4}-.1617087{col 75}{space 3} .0204544
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}-.0957382{col 34}{space 2} .0301112{col 45}{space 1}   -3.18{col 54}{space 3}0.002{col 62}{space 4} -.154837{col 75}{space 3}-.0366393
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .2485218{col 34}{space 2} .0737046{col 45}{space 1}    3.37{col 54}{space 3}0.001{col 62}{space 4}  .103863{col 75}{space 3} .3931806
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .1088067{col 34}{space 2}  .027003{col 45}{space 1}    4.03{col 54}{space 3}0.000{col 62}{space 4} .0558084{col 75}{space 3}  .161805
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2} .0170182{col 34}{space 2} .0119923{col 45}{space 1}    1.42{col 54}{space 3}0.156{col 62}{space 4}-.0065189{col 75}{space 3} .0405552
{txt}football_consumption {c |}{col 22}{res}{space 2} .2488534{col 34}{space 2} .0197634{col 45}{space 1}   12.59{col 54}{space 3}0.000{col 62}{space 4} .2100642{col 75}{space 3} .2876427
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}-.0346448{col 34}{space 2} .0272663{col 45}{space 1}   -1.27{col 54}{space 3}0.204{col 62}{space 4}-.0881599{col 75}{space 3} .0188704
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .1170221{col 34}{space 2}  .060328{col 45}{space 1}    1.94{col 54}{space 3}0.053{col 62}{space 4}-.0013828{col 75}{space 3}  .235427
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .0380683{col 34}{space 2} .0283232{col 45}{space 1}    1.34{col 54}{space 3}0.179{col 62}{space 4}-.0175212{col 75}{space 3} .0936578
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} .9048435{col 34}{space 2} .1496267{col 45}{space 1}    6.05{col 54}{space 3}0.000{col 62}{space 4} .6111734{col 75}{space 3} 1.198514
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 
.         *Model 2 
.         reg football_opening_cat $controls_1 if wave==1 & resond_slowfast!=1, robust

{txt}Linear regression                               Number of obs     = {res}       874
                                                {txt}F(10, 863)        =  {res}    17.86
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.2000
                                                {txt}Root MSE          =    {res} .57175

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}football_opening_cat{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 17}age {c |}{col 22}{res}{space 2} .0007226{col 34}{space 2} .0014209{col 45}{space 1}    0.51{col 54}{space 3}0.611{col 62}{space 4}-.0020662{col 75}{space 3} .0035114
{txt}{space 16}male {c |}{col 22}{res}{space 2} .0567458{col 34}{space 2}  .040238{col 45}{space 1}    1.41{col 54}{space 3}0.159{col 62}{space 4}  -.02223{col 75}{space 3} .1357217
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}    .0356{col 34}{space 2} .0253622{col 45}{space 1}    1.40{col 54}{space 3}0.161{col 62}{space 4}-.0141789{col 75}{space 3} .0853789
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .1374164{col 34}{space 2} .0598487{col 45}{space 1}    2.30{col 54}{space 3}0.022{col 62}{space 4} .0199503{col 75}{space 3} .2548825
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0740446{col 34}{space 2} .0255658{col 45}{space 1}    2.90{col 54}{space 3}0.004{col 62}{space 4} .0238661{col 75}{space 3} .1242231
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2} -.017561{col 34}{space 2} .0129523{col 45}{space 1}   -1.36{col 54}{space 3}0.176{col 62}{space 4}-.0429826{col 75}{space 3} .0078607
{txt}football_consumption {c |}{col 22}{res}{space 2} .1919691{col 34}{space 2} .0185556{col 45}{space 1}   10.35{col 54}{space 3}0.000{col 62}{space 4} .1555497{col 75}{space 3} .2283884
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}-.0306928{col 34}{space 2} .0221317{col 45}{space 1}   -1.39{col 54}{space 3}0.166{col 62}{space 4} -.074131{col 75}{space 3} .0127454
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .0685105{col 34}{space 2} .0556184{col 45}{space 1}    1.23{col 54}{space 3}0.218{col 62}{space 4}-.0406526{col 75}{space 3} .1776736
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .0636412{col 34}{space 2} .0250218{col 45}{space 1}    2.54{col 54}{space 3}0.011{col 62}{space 4} .0145304{col 75}{space 3}  .112752
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} .5578115{col 34}{space 2} .1297717{col 45}{space 1}    4.30{col 54}{space 3}0.000{col 62}{space 4} .3031064{col 75}{space 3} .8125167
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         
.         *Model 3 
.         reg football_opening_cat $controls_1 if wave==0 & respond_germmatch!=1, robust

{txt}Linear regression                               Number of obs     = {res}       963
                                                {txt}F(10, 952)        =  {res}    31.31
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.2324
                                                {txt}Root MSE          =    {res} .65581

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}football_opening_cat{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 17}age {c |}{col 22}{res}{space 2}-.0065178{col 34}{space 2} .0014855{col 45}{space 1}   -4.39{col 54}{space 3}0.000{col 62}{space 4} -.009433{col 75}{space 3}-.0036025
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.0612556{col 34}{space 2} .0446423{col 45}{space 1}   -1.37{col 54}{space 3}0.170{col 62}{space 4}-.1488643{col 75}{space 3} .0263531
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}-.0860439{col 34}{space 2} .0291443{col 45}{space 1}   -2.95{col 54}{space 3}0.003{col 62}{space 4}-.1432385{col 75}{space 3}-.0288494
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .2112189{col 34}{space 2} .0699631{col 45}{space 1}    3.02{col 54}{space 3}0.003{col 62}{space 4} .0739192{col 75}{space 3} .3485185
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0995357{col 34}{space 2} .0260654{col 45}{space 1}    3.82{col 54}{space 3}0.000{col 62}{space 4} .0483835{col 75}{space 3} .1506879
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2} .0166603{col 34}{space 2} .0115993{col 45}{space 1}    1.44{col 54}{space 3}0.151{col 62}{space 4}-.0061028{col 75}{space 3} .0394234
{txt}football_consumption {c |}{col 22}{res}{space 2} .2540598{col 34}{space 2} .0187095{col 45}{space 1}   13.58{col 54}{space 3}0.000{col 62}{space 4} .2173433{col 75}{space 3} .2907763
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}-.0363406{col 34}{space 2} .0263167{col 45}{space 1}   -1.38{col 54}{space 3}0.168{col 62}{space 4}-.0879861{col 75}{space 3} .0153049
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .1132042{col 34}{space 2} .0566183{col 45}{space 1}    2.00{col 54}{space 3}0.046{col 62}{space 4}  .002093{col 75}{space 3} .2243153
{txt}world_regions_russia {c |}{col 22}{res}{space 2}  .035695{col 34}{space 2} .0268041{col 45}{space 1}    1.33{col 54}{space 3}0.183{col 62}{space 4}-.0169068{col 75}{space 3} .0882969
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} .9655081{col 34}{space 2} .1434465{col 45}{space 1}    6.73{col 54}{space 3}0.000{col 62}{space 4} .6840002{col 75}{space 3} 1.247016
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         
.         *Model 4  
.         reg football_opening_cat $controls_1 if wave==1 &respond_germmatch!=1, robust

{txt}Linear regression                               Number of obs     = {res}       944
                                                {txt}F(10, 933)        =  {res}    22.05
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.2099
                                                {txt}Root MSE          =    {res} .57427

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}football_opening_cat{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 17}age {c |}{col 22}{res}{space 2}-.0007684{col 34}{space 2} .0013503{col 45}{space 1}   -0.57{col 54}{space 3}0.569{col 62}{space 4}-.0034183{col 75}{space 3} .0018815
{txt}{space 16}male {c |}{col 22}{res}{space 2} .0341122{col 34}{space 2} .0388096{col 45}{space 1}    0.88{col 54}{space 3}0.380{col 62}{space 4} -.042052{col 75}{space 3} .1102764
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} .0370758{col 34}{space 2} .0242621{col 45}{space 1}    1.53{col 54}{space 3}0.127{col 62}{space 4}-.0105387{col 75}{space 3} .0846904
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2}  .076486{col 34}{space 2} .0557038{col 45}{space 1}    1.37{col 54}{space 3}0.170{col 62}{space 4}-.0328332{col 75}{space 3} .1858052
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0821841{col 34}{space 2} .0245637{col 45}{space 1}    3.35{col 54}{space 3}0.001{col 62}{space 4} .0339776{col 75}{space 3} .1303906
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.0168533{col 34}{space 2} .0117822{col 45}{space 1}   -1.43{col 54}{space 3}0.153{col 62}{space 4} -.039976{col 75}{space 3} .0062694
{txt}football_consumption {c |}{col 22}{res}{space 2} .1980975{col 34}{space 2} .0178896{col 45}{space 1}   11.07{col 54}{space 3}0.000{col 62}{space 4}  .162989{col 75}{space 3} .2332059
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}-.0319175{col 34}{space 2}  .021484{col 45}{space 1}   -1.49{col 54}{space 3}0.138{col 62}{space 4}  -.07408{col 75}{space 3}  .010245
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .0817782{col 34}{space 2} .0540048{col 45}{space 1}    1.51{col 54}{space 3}0.130{col 62}{space 4}-.0242067{col 75}{space 3} .1877631
{txt}world_regions_russia {c |}{col 22}{res}{space 2}  .075911{col 34}{space 2} .0237662{col 45}{space 1}    3.19{col 54}{space 3}0.001{col 62}{space 4} .0292695{col 75}{space 3} .1225524
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} .5989778{col 34}{space 2} .1226145{col 45}{space 1}    4.89{col 54}{space 3}0.000{col 62}{space 4} .3583457{col 75}{space 3} .8396099
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
.         
.         ****************************************************************************
.         *Table A.6.17. Reduced sample: World Cup start and change of opinions about Qatar
.         ****************************************************************************    
.         
.         *Control variables
.         #delimit ;
{txt}delimiter now ;
{com}.         global controls_2 = "
>                                                  age
>                                                  male 
>                                                  education3 
>                                                  mig_backg 
>                                                  pol_interest 
>                                                  pol_left_right 
>                                                  football_consumption 
>                                                  football_reports
>                                                  born_gdr
>                                                  world_regions_russia
>                                                  "
>         ;
{txt}
{com}.         #delimit cr
{txt}delimiter now cr
{com}.                 
.         *Dependent variables
.         #delimit ;
{txt}delimiter now ;
{com}.         tokenize                           "
>                                                    qatar_statements_1_influence 
>                                                    qatar_statements_1_aggro
>                                                    qatar_statements_1_tech
>                                                    qatar_statements_1_orga 
>                                                    qatar_statements_1_travel
>                                                    qat_state_2_worker
>                                                    qat_state_2_women
>                                                    qat_state_2_lgbt
>                                                    ";
{txt}
{com}.         #delimit cr     
{txt}delimiter now cr
{com}.         
.         *Models 1-8
.         forval j=1/8  {c -(} 
{txt}  2{com}. 
.         reg ``j'' wave $controls_2 if resond_slowfast!=1, robust        
{txt}  3{com}.         
.         {c )-}

{txt}Linear regression                               Number of obs     = {res}     1,756
                                                {txt}F(11, 1744)       =  {res}     7.83
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0459
                                                {txt}Root MSE          =    {res} 1.0205

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}qatar_statements_1~e{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.0412718{col 34}{space 2} .0492129{col 45}{space 1}   -0.84{col 54}{space 3}0.402{col 62}{space 4}-.1377943{col 75}{space 3} .0552506
{txt}{space 17}age {c |}{col 22}{res}{space 2} .0012352{col 34}{space 2} .0018319{col 45}{space 1}    0.67{col 54}{space 3}0.500{col 62}{space 4}-.0023577{col 75}{space 3} .0048281
{txt}{space 16}male {c |}{col 22}{res}{space 2} .0009778{col 34}{space 2} .0525802{col 45}{space 1}    0.02{col 54}{space 3}0.985{col 62}{space 4}-.1021492{col 75}{space 3} .1041047
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} .0353073{col 34}{space 2}  .033245{col 45}{space 1}    1.06{col 54}{space 3}0.288{col 62}{space 4} -.029897{col 75}{space 3} .1005116
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2}  .101269{col 34}{space 2}  .075492{col 45}{space 1}    1.34{col 54}{space 3}0.180{col 62}{space 4}-.0467954{col 75}{space 3} .2493333
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .1321842{col 34}{space 2} .0332989{col 45}{space 1}    3.97{col 54}{space 3}0.000{col 62}{space 4} .0668742{col 75}{space 3} .1974943
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.0058466{col 34}{space 2} .0140276{col 45}{space 1}   -0.42{col 54}{space 3}0.677{col 62}{space 4}-.0333593{col 75}{space 3}  .021666
{txt}football_consumption {c |}{col 22}{res}{space 2} .0366478{col 34}{space 2} .0227061{col 45}{space 1}    1.61{col 54}{space 3}0.107{col 62}{space 4}-.0078862{col 75}{space 3} .0811819
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2} .0938385{col 34}{space 2} .0307146{col 45}{space 1}    3.06{col 54}{space 3}0.002{col 62}{space 4} .0335972{col 75}{space 3} .1540797
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .1142639{col 34}{space 2} .0648087{col 45}{space 1}    1.76{col 54}{space 3}0.078{col 62}{space 4}-.0128471{col 75}{space 3} .2413748
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .1016218{col 34}{space 2} .0298433{col 45}{space 1}    3.41{col 54}{space 3}0.001{col 62}{space 4} .0430893{col 75}{space 3} .1601543
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 2.105535{col 34}{space 2} .1756949{col 45}{space 1}   11.98{col 54}{space 3}0.000{col 62}{space 4}  1.76094{col 75}{space 3}  2.45013
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Linear regression                               Number of obs     = {res}     1,756
                                                {txt}F(11, 1744)       =  {res}     5.81
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0394
                                                {txt}Root MSE          =    {res}  1.058

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}qatar_statements_1~o{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2} -.070748{col 34}{space 2}  .050854{col 45}{space 1}   -1.39{col 54}{space 3}0.164{col 62}{space 4}-.1704892{col 75}{space 3} .0289932
{txt}{space 17}age {c |}{col 22}{res}{space 2}-.0020817{col 34}{space 2} .0018939{col 45}{space 1}   -1.10{col 54}{space 3}0.272{col 62}{space 4}-.0057962{col 75}{space 3} .0016328
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.1517596{col 34}{space 2} .0546791{col 45}{space 1}   -2.78{col 54}{space 3}0.006{col 62}{space 4}-.2590031{col 75}{space 3}-.0445162
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}-.0558405{col 34}{space 2}  .034099{col 45}{space 1}   -1.64{col 54}{space 3}0.102{col 62}{space 4}-.1227198{col 75}{space 3} .0110387
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2}-.0094961{col 34}{space 2} .0754921{col 45}{space 1}   -0.13{col 54}{space 3}0.900{col 62}{space 4}-.1575607{col 75}{space 3} .1385684
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2}-.0126853{col 34}{space 2} .0336045{col 45}{space 1}   -0.38{col 54}{space 3}0.706{col 62}{space 4}-.0785947{col 75}{space 3}  .053224
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.0126178{col 34}{space 2} .0153433{col 45}{space 1}   -0.82{col 54}{space 3}0.411{col 62}{space 4} -.042711{col 75}{space 3} .0174753
{txt}football_consumption {c |}{col 22}{res}{space 2}-.0730399{col 34}{space 2}  .023323{col 45}{space 1}   -3.13{col 54}{space 3}0.002{col 62}{space 4}-.1187839{col 75}{space 3}-.0272959
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2} .1345905{col 34}{space 2} .0315166{col 45}{space 1}    4.27{col 54}{space 3}0.000{col 62}{space 4} .0727762{col 75}{space 3} .1964049
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2}-.1125204{col 34}{space 2} .0702537{col 45}{space 1}   -1.60{col 54}{space 3}0.109{col 62}{space 4}-.2503108{col 75}{space 3} .0252699
{txt}world_regions_russia {c |}{col 22}{res}{space 2}-.1225865{col 34}{space 2} .0330281{col 45}{space 1}   -3.71{col 54}{space 3}0.000{col 62}{space 4}-.1873653{col 75}{space 3}-.0578077
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 3.840689{col 34}{space 2} .1871028{col 45}{space 1}   20.53{col 54}{space 3}0.000{col 62}{space 4}  3.47372{col 75}{space 3} 4.207659
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Linear regression                               Number of obs     = {res}     1,754
                                                {txt}F(11, 1742)       =  {res}     6.82
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0439
                                                {txt}Root MSE          =    {res} .97451

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}qatar_statements_1~h{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.0726335{col 34}{space 2} .0467837{col 45}{space 1}   -1.55{col 54}{space 3}0.121{col 62}{space 4}-.1643915{col 75}{space 3} .0191246
{txt}{space 17}age {c |}{col 22}{res}{space 2}-.0008278{col 34}{space 2} .0017416{col 45}{space 1}   -0.48{col 54}{space 3}0.635{col 62}{space 4}-.0042437{col 75}{space 3} .0025882
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.1890619{col 34}{space 2} .0495363{col 45}{space 1}   -3.82{col 54}{space 3}0.000{col 62}{space 4}-.2862187{col 75}{space 3}-.0919051
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}-.0267295{col 34}{space 2} .0317558{col 45}{space 1}   -0.84{col 54}{space 3}0.400{col 62}{space 4}-.0890131{col 75}{space 3}  .035554
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .0403069{col 34}{space 2}  .073035{col 45}{space 1}    0.55{col 54}{space 3}0.581{col 62}{space 4}-.1029387{col 75}{space 3} .1835525
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0899644{col 34}{space 2} .0310187{col 45}{space 1}    2.90{col 54}{space 3}0.004{col 62}{space 4} .0291265{col 75}{space 3} .1508022
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.0159632{col 34}{space 2} .0143525{col 45}{space 1}   -1.11{col 54}{space 3}0.266{col 62}{space 4}-.0441132{col 75}{space 3} .0121868
{txt}football_consumption {c |}{col 22}{res}{space 2} .0546758{col 34}{space 2} .0213131{col 45}{space 1}    2.57{col 54}{space 3}0.010{col 62}{space 4} .0128738{col 75}{space 3} .0964778
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}-.0214168{col 34}{space 2} .0292277{col 45}{space 1}   -0.73{col 54}{space 3}0.464{col 62}{space 4}-.0787419{col 75}{space 3} .0359082
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .2016099{col 34}{space 2} .0634621{col 45}{space 1}    3.18{col 54}{space 3}0.002{col 62}{space 4}   .07714{col 75}{space 3} .3260798
{txt}world_regions_russia {c |}{col 22}{res}{space 2}  .153793{col 34}{space 2} .0298274{col 45}{space 1}    5.16{col 54}{space 3}0.000{col 62}{space 4} .0952917{col 75}{space 3} .2122944
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 2.301406{col 34}{space 2} .1683004{col 45}{space 1}   13.67{col 54}{space 3}0.000{col 62}{space 4} 1.971314{col 75}{space 3} 2.631498
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Linear regression                               Number of obs     = {res}     1,758
                                                {txt}F(11, 1746)       =  {res}    17.66
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0967
                                                {txt}Root MSE          =    {res} 1.0164

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}qatar_statements_1~a{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2} .0256544{col 34}{space 2} .0488984{col 45}{space 1}    0.52{col 54}{space 3}0.600{col 62}{space 4}-.0702511{col 75}{space 3} .1215599
{txt}{space 17}age {c |}{col 22}{res}{space 2} .0070344{col 34}{space 2} .0017914{col 45}{space 1}    3.93{col 54}{space 3}0.000{col 62}{space 4} .0035209{col 75}{space 3} .0105478
{txt}{space 16}male {c |}{col 22}{res}{space 2} .2182749{col 34}{space 2} .0528782{col 45}{space 1}    4.13{col 54}{space 3}0.000{col 62}{space 4} .1145637{col 75}{space 3} .3219861
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}  .113049{col 34}{space 2} .0334235{col 45}{space 1}    3.38{col 54}{space 3}0.001{col 62}{space 4} .0474946{col 75}{space 3} .1786034
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .0491634{col 34}{space 2} .0731748{col 45}{space 1}    0.67{col 54}{space 3}0.502{col 62}{space 4} -.094356{col 75}{space 3} .1926828
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .1865438{col 34}{space 2} .0329616{col 45}{space 1}    5.66{col 54}{space 3}0.000{col 62}{space 4} .1218954{col 75}{space 3} .2511922
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2} .0087067{col 34}{space 2} .0145014{col 45}{space 1}    0.60{col 54}{space 3}0.548{col 62}{space 4}-.0197353{col 75}{space 3} .0371487
{txt}football_consumption {c |}{col 22}{res}{space 2}-.0018777{col 34}{space 2} .0222654{col 45}{space 1}   -0.08{col 54}{space 3}0.933{col 62}{space 4}-.0455474{col 75}{space 3}  .041792
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2} .0030384{col 34}{space 2} .0302638{col 45}{space 1}    0.10{col 54}{space 3}0.920{col 62}{space 4}-.0563186{col 75}{space 3} .0623955
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .1646269{col 34}{space 2} .0635443{col 45}{space 1}    2.59{col 54}{space 3}0.010{col 62}{space 4} .0399959{col 75}{space 3} .2892578
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .1897166{col 34}{space 2}  .029283{col 45}{space 1}    6.48{col 54}{space 3}0.000{col 62}{space 4} .1322831{col 75}{space 3} .2471501
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 1.265962{col 34}{space 2} .1734391{col 45}{space 1}    7.30{col 54}{space 3}0.000{col 62}{space 4} .9257915{col 75}{space 3} 1.606132
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Linear regression                               Number of obs     = {res}     1,756
                                                {txt}F(11, 1744)       =  {res}    12.19
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0769
                                                {txt}Root MSE          =    {res} 1.0921

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}qatar_statements_1~l{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.0599905{col 34}{space 2} .0523345{col 45}{space 1}   -1.15{col 54}{space 3}0.252{col 62}{space 4}-.1626354{col 75}{space 3} .0426544
{txt}{space 17}age {c |}{col 22}{res}{space 2} .0026006{col 34}{space 2} .0019379{col 45}{space 1}    1.34{col 54}{space 3}0.180{col 62}{space 4}-.0012004{col 75}{space 3} .0064015
{txt}{space 16}male {c |}{col 22}{res}{space 2} .1362993{col 34}{space 2} .0558051{col 45}{space 1}    2.44{col 54}{space 3}0.015{col 62}{space 4} .0268472{col 75}{space 3} .2457513
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}-.0533739{col 34}{space 2} .0348773{col 45}{space 1}   -1.53{col 54}{space 3}0.126{col 62}{space 4}-.1217796{col 75}{space 3} .0150317
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2}  .134857{col 34}{space 2} .0817376{col 45}{space 1}    1.65{col 54}{space 3}0.099{col 62}{space 4}-.0254569{col 75}{space 3}  .295171
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0604894{col 34}{space 2} .0346993{col 45}{space 1}    1.74{col 54}{space 3}0.081{col 62}{space 4}-.0075673{col 75}{space 3} .1285461
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.0061311{col 34}{space 2} .0158805{col 45}{space 1}   -0.39{col 54}{space 3}0.699{col 62}{space 4} -.037278{col 75}{space 3} .0250158
{txt}football_consumption {c |}{col 22}{res}{space 2}  .109049{col 34}{space 2}   .02406{col 45}{space 1}    4.53{col 54}{space 3}0.000{col 62}{space 4} .0618595{col 75}{space 3} .1562385
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}-.1168999{col 34}{space 2} .0317438{col 45}{space 1}   -3.68{col 54}{space 3}0.000{col 62}{space 4}-.1791597{col 75}{space 3}-.0546401
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .1961667{col 34}{space 2} .0713202{col 45}{space 1}    2.75{col 54}{space 3}0.006{col 62}{space 4} .0562846{col 75}{space 3} .3360488
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .2365648{col 34}{space 2}  .034299{col 45}{space 1}    6.90{col 54}{space 3}0.000{col 62}{space 4} .1692933{col 75}{space 3} .3038362
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 1.685108{col 34}{space 2} .1866575{col 45}{space 1}    9.03{col 54}{space 3}0.000{col 62}{space 4} 1.319012{col 75}{space 3} 2.051204
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Linear regression                               Number of obs     = {res}     1,752
                                                {txt}F(11, 1740)       =  {res}    32.05
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1575
                                                {txt}Root MSE          =    {res} .91579

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}  qat_state_2_worker{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.0110553{col 34}{space 2} .0440575{col 45}{space 1}   -0.25{col 54}{space 3}0.802{col 62}{space 4}-.0974665{col 75}{space 3} .0753559
{txt}{space 17}age {c |}{col 22}{res}{space 2} .0087354{col 34}{space 2} .0016168{col 45}{space 1}    5.40{col 54}{space 3}0.000{col 62}{space 4} .0055643{col 75}{space 3} .0119065
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.0014414{col 34}{space 2} .0470098{col 45}{space 1}   -0.03{col 54}{space 3}0.976{col 62}{space 4}-.0936431{col 75}{space 3} .0907603
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} .0753992{col 34}{space 2} .0299747{col 45}{space 1}    2.52{col 54}{space 3}0.012{col 62}{space 4} .0166089{col 75}{space 3} .1341894
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2}-.0359586{col 34}{space 2} .0681038{col 45}{space 1}   -0.53{col 54}{space 3}0.598{col 62}{space 4}-.1695325{col 75}{space 3} .0976153
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .1035956{col 34}{space 2}  .029545{col 45}{space 1}    3.51{col 54}{space 3}0.000{col 62}{space 4} .0456481{col 75}{space 3}  .161543
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.0646425{col 34}{space 2} .0127076{col 45}{space 1}   -5.09{col 54}{space 3}0.000{col 62}{space 4}-.0895663{col 75}{space 3}-.0397187
{txt}football_consumption {c |}{col 22}{res}{space 2}-.0608769{col 34}{space 2} .0202471{col 45}{space 1}   -3.01{col 54}{space 3}0.003{col 62}{space 4}-.1005882{col 75}{space 3}-.0211656
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2} .2150392{col 34}{space 2} .0277008{col 45}{space 1}    7.76{col 54}{space 3}0.000{col 62}{space 4} .1607089{col 75}{space 3} .2693696
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2}-.1568056{col 34}{space 2}  .062649{col 45}{space 1}   -2.50{col 54}{space 3}0.012{col 62}{space 4}-.2796809{col 75}{space 3}-.0339303
{txt}world_regions_russia {c |}{col 22}{res}{space 2}-.2328914{col 34}{space 2} .0286626{col 45}{space 1}   -8.13{col 54}{space 3}0.000{col 62}{space 4}-.2891083{col 75}{space 3}-.1766745
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 3.727987{col 34}{space 2} .1666334{col 45}{space 1}   22.37{col 54}{space 3}0.000{col 62}{space 4} 3.401164{col 75}{space 3}  4.05481
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Linear regression                               Number of obs     = {res}     1,753
                                                {txt}F(11, 1741)       =  {res}    19.66
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1134
                                                {txt}Root MSE          =    {res} .92266

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}   qat_state_2_women{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.1010839{col 34}{space 2} .0445578{col 45}{space 1}   -2.27{col 54}{space 3}0.023{col 62}{space 4}-.1884764{col 75}{space 3}-.0136913
{txt}{space 17}age {c |}{col 22}{res}{space 2} .0076303{col 34}{space 2} .0016962{col 45}{space 1}    4.50{col 54}{space 3}0.000{col 62}{space 4} .0043034{col 75}{space 3} .0109572
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.1118487{col 34}{space 2} .0471729{col 45}{space 1}   -2.37{col 54}{space 3}0.018{col 62}{space 4}-.2043702{col 75}{space 3}-.0193271
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} .0047596{col 34}{space 2}  .030833{col 45}{space 1}    0.15{col 54}{space 3}0.877{col 62}{space 4}-.0557141{col 75}{space 3} .0652332
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2}-.0512273{col 34}{space 2} .0665085{col 45}{space 1}   -0.77{col 54}{space 3}0.441{col 62}{space 4}-.1816722{col 75}{space 3} .0792177
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0153197{col 34}{space 2} .0304396{col 45}{space 1}    0.50{col 54}{space 3}0.615{col 62}{space 4}-.0443823{col 75}{space 3} .0750216
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.0378422{col 34}{space 2} .0137927{col 45}{space 1}   -2.74{col 54}{space 3}0.006{col 62}{space 4}-.0648941{col 75}{space 3}-.0107903
{txt}football_consumption {c |}{col 22}{res}{space 2}-.0853411{col 34}{space 2} .0203361{col 45}{space 1}   -4.20{col 54}{space 3}0.000{col 62}{space 4}-.1252268{col 75}{space 3}-.0454553
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2} .1698968{col 34}{space 2}  .027629{col 45}{space 1}    6.15{col 54}{space 3}0.000{col 62}{space 4} .1157074{col 75}{space 3} .2240863
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2}-.1115511{col 34}{space 2} .0645088{col 45}{space 1}   -1.73{col 54}{space 3}0.084{col 62}{space 4} -.238074{col 75}{space 3} .0149718
{txt}world_regions_russia {c |}{col 22}{res}{space 2}-.2234666{col 34}{space 2} .0287571{col 45}{space 1}   -7.77{col 54}{space 3}0.000{col 62}{space 4}-.2798686{col 75}{space 3}-.1670646
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 4.256247{col 34}{space 2} .1677884{col 45}{space 1}   25.37{col 54}{space 3}0.000{col 62}{space 4} 3.927159{col 75}{space 3} 4.585335
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Linear regression                               Number of obs     = {res}     1,750
                                                {txt}F(11, 1738)       =  {res}    21.24
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1225
                                                {txt}Root MSE          =    {res} .86919

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}    qat_state_2_lgbt{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.0440608{col 34}{space 2} .0421637{col 45}{space 1}   -1.04{col 54}{space 3}0.296{col 62}{space 4}-.1267577{col 75}{space 3} .0386361
{txt}{space 17}age {c |}{col 22}{res}{space 2} .0090123{col 34}{space 2} .0015785{col 45}{space 1}    5.71{col 54}{space 3}0.000{col 62}{space 4} .0059164{col 75}{space 3} .0121082
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.1005252{col 34}{space 2} .0457619{col 45}{space 1}   -2.20{col 54}{space 3}0.028{col 62}{space 4}-.1902793{col 75}{space 3}-.0107711
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} .0676448{col 34}{space 2} .0308945{col 45}{space 1}    2.19{col 54}{space 3}0.029{col 62}{space 4} .0070504{col 75}{space 3} .1282391
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2}-.0285179{col 34}{space 2} .0630851{col 45}{space 1}   -0.45{col 54}{space 3}0.651{col 62}{space 4}-.1522486{col 75}{space 3} .0952128
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0279976{col 34}{space 2} .0286235{col 45}{space 1}    0.98{col 54}{space 3}0.328{col 62}{space 4}-.0281426{col 75}{space 3} .0841379
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.0243411{col 34}{space 2} .0127375{col 45}{space 1}   -1.91{col 54}{space 3}0.056{col 62}{space 4}-.0493236{col 75}{space 3} .0006414
{txt}football_consumption {c |}{col 22}{res}{space 2}-.0524871{col 34}{space 2} .0186761{col 45}{space 1}   -2.81{col 54}{space 3}0.005{col 62}{space 4}-.0891172{col 75}{space 3} -.015857
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2} .1957256{col 34}{space 2} .0276036{col 45}{space 1}    7.09{col 54}{space 3}0.000{col 62}{space 4} .1415858{col 75}{space 3} .2498654
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2}-.1723826{col 34}{space 2} .0606941{col 45}{space 1}   -2.84{col 54}{space 3}0.005{col 62}{space 4}-.2914237{col 75}{space 3}-.0533415
{txt}world_regions_russia {c |}{col 22}{res}{space 2}-.1990298{col 34}{space 2}  .027561{col 45}{space 1}   -7.22{col 54}{space 3}0.000{col 62}{space 4}-.2530859{col 75}{space 3}-.1449737
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 4.018101{col 34}{space 2} .1662707{col 45}{space 1}   24.17{col 54}{space 3}0.000{col 62}{space 4} 3.691989{col 75}{space 3} 4.344213
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         
.         
.         ****************************************************************************
.         *Table A.6.18. Reduced sample: World Cup start and change of opinions about Qatar
.         ****************************************************************************    
. 
.         
.         *Control variables
.         #delimit ;
{txt}delimiter now ;
{com}.         global controls_2 = "
>                                                  age
>                                                  male 
>                                                  education3 
>                                                  mig_backg 
>                                                  pol_interest 
>                                                  pol_left_right 
>                                                  football_consumption 
>                                                  football_reports
>                                                  born_gdr
>                                                  world_regions_russia
>                                                  "
>         ;
{txt}
{com}.         #delimit cr
{txt}delimiter now cr
{com}.                 
.         *Dependent variables
.         #delimit ;
{txt}delimiter now ;
{com}.         tokenize                           "
>                                                    qatar_statements_1_influence 
>                                                    qatar_statements_1_aggro
>                                                    qatar_statements_1_tech
>                                                    qatar_statements_1_orga 
>                                                    qatar_statements_1_travel
>                                                    qat_state_2_worker
>                                                    qat_state_2_women
>                                                    qat_state_2_lgbt
>                                                    ";
{txt}
{com}.         #delimit cr     
{txt}delimiter now cr
{com}.         
.         *Models 1-8
.         forval j=1/8  {c -(} 
{txt}  2{com}. 
.         reg ``j'' wave $controls_2 if respond_germmatch!=1, robust
{txt}  3{com}.                 
.         {c )-}       

{txt}Linear regression                               Number of obs     = {res}     1,904
                                                {txt}F(11, 1892)       =  {res}     8.32
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0465
                                                {txt}Root MSE          =    {res} 1.0183

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}qatar_statements_1~e{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.0462258{col 34}{space 2} .0470267{col 45}{space 1}   -0.98{col 54}{space 3}0.326{col 62}{space 4}-.1384556{col 75}{space 3} .0460039
{txt}{space 17}age {c |}{col 22}{res}{space 2} .0018519{col 34}{space 2} .0017447{col 45}{space 1}    1.06{col 54}{space 3}0.289{col 62}{space 4}-.0015698{col 75}{space 3} .0052735
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.0051553{col 34}{space 2} .0497173{col 45}{space 1}   -0.10{col 54}{space 3}0.917{col 62}{space 4}-.1026617{col 75}{space 3} .0923512
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}   .04009{col 34}{space 2} .0315283{col 45}{space 1}    1.27{col 54}{space 3}0.204{col 62}{space 4}-.0217439{col 75}{space 3} .1019238
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .1079942{col 34}{space 2} .0730533{col 45}{space 1}    1.48{col 54}{space 3}0.139{col 62}{space 4}-.0352794{col 75}{space 3} .2512677
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .1149973{col 34}{space 2}  .031858{col 45}{space 1}    3.61{col 54}{space 3}0.000{col 62}{space 4} .0525168{col 75}{space 3} .1774778
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.0050313{col 34}{space 2} .0133402{col 45}{space 1}   -0.38{col 54}{space 3}0.706{col 62}{space 4}-.0311943{col 75}{space 3} .0211318
{txt}football_consumption {c |}{col 22}{res}{space 2} .0358594{col 34}{space 2} .0217874{col 45}{space 1}    1.65{col 54}{space 3}0.100{col 62}{space 4}-.0068705{col 75}{space 3} .0785892
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2} .1035119{col 34}{space 2} .0293178{col 45}{space 1}    3.53{col 54}{space 3}0.000{col 62}{space 4} .0460133{col 75}{space 3} .1610104
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2}  .103202{col 34}{space 2}  .061331{col 45}{space 1}    1.68{col 54}{space 3}0.093{col 62}{space 4}-.0170816{col 75}{space 3} .2234856
{txt}world_regions_russia {c |}{col 22}{res}{space 2}  .117072{col 34}{space 2} .0285699{col 45}{space 1}    4.10{col 54}{space 3}0.000{col 62}{space 4} .0610401{col 75}{space 3} .1731038
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}  2.05461{col 34}{space 2} .1671121{col 45}{space 1}   12.29{col 54}{space 3}0.000{col 62}{space 4} 1.726866{col 75}{space 3} 2.382353
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Linear regression                               Number of obs     = {res}     1,904
                                                {txt}F(11, 1892)       =  {res}     5.70
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0360
                                                {txt}Root MSE          =    {res} 1.0529

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}qatar_statements_1~o{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.0639013{col 34}{space 2} .0484383{col 45}{space 1}   -1.32{col 54}{space 3}0.187{col 62}{space 4}-.1588995{col 75}{space 3} .0310969
{txt}{space 17}age {c |}{col 22}{res}{space 2}-.0015037{col 34}{space 2} .0018026{col 45}{space 1}   -0.83{col 54}{space 3}0.404{col 62}{space 4}-.0050389{col 75}{space 3} .0020315
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.1635944{col 34}{space 2} .0516672{col 45}{space 1}   -3.17{col 54}{space 3}0.002{col 62}{space 4}-.2649252{col 75}{space 3}-.0622637
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}  -.05255{col 34}{space 2} .0325844{col 45}{space 1}   -1.61{col 54}{space 3}0.107{col 62}{space 4} -.116455{col 75}{space 3} .0113551
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2}-.0084414{col 34}{space 2} .0730297{col 45}{space 1}   -0.12{col 54}{space 3}0.908{col 62}{space 4}-.1516687{col 75}{space 3} .1347858
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} -.005295{col 34}{space 2} .0322487{col 45}{space 1}   -0.16{col 54}{space 3}0.870{col 62}{space 4}-.0685417{col 75}{space 3} .0579518
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.0158307{col 34}{space 2} .0144395{col 45}{space 1}   -1.10{col 54}{space 3}0.273{col 62}{space 4}-.0441496{col 75}{space 3} .0124883
{txt}football_consumption {c |}{col 22}{res}{space 2}-.0591392{col 34}{space 2} .0223667{col 45}{space 1}   -2.64{col 54}{space 3}0.008{col 62}{space 4}-.1030053{col 75}{space 3}-.0152731
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2} .1339796{col 34}{space 2}  .030251{col 45}{space 1}    4.43{col 54}{space 3}0.000{col 62}{space 4} .0746507{col 75}{space 3} .1933085
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2}-.1194697{col 34}{space 2} .0665408{col 45}{space 1}   -1.80{col 54}{space 3}0.073{col 62}{space 4}-.2499707{col 75}{space 3} .0110313
{txt}world_regions_russia {c |}{col 22}{res}{space 2}-.1116736{col 34}{space 2} .0316512{col 45}{space 1}   -3.53{col 54}{space 3}0.000{col 62}{space 4}-.1737484{col 75}{space 3}-.0495987
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 3.753659{col 34}{space 2} .1781511{col 45}{space 1}   21.07{col 54}{space 3}0.000{col 62}{space 4} 3.404266{col 75}{space 3} 4.103052
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Linear regression                               Number of obs     = {res}     1,903
                                                {txt}F(11, 1891)       =  {res}     8.78
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0518
                                                {txt}Root MSE          =    {res} .97162

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}qatar_statements_1~h{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.0811789{col 34}{space 2}  .044722{col 45}{space 1}   -1.82{col 54}{space 3}0.070{col 62}{space 4}-.1688884{col 75}{space 3} .0065307
{txt}{space 17}age {c |}{col 22}{res}{space 2}-.0010401{col 34}{space 2} .0016518{col 45}{space 1}   -0.63{col 54}{space 3}0.529{col 62}{space 4}-.0042797{col 75}{space 3} .0021995
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.2002836{col 34}{space 2} .0471707{col 45}{space 1}   -4.25{col 54}{space 3}0.000{col 62}{space 4}-.2927957{col 75}{space 3}-.1077714
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}-.0240162{col 34}{space 2} .0302514{col 45}{space 1}   -0.79{col 54}{space 3}0.427{col 62}{space 4}-.0833457{col 75}{space 3} .0353133
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .0397188{col 34}{space 2} .0708952{col 45}{space 1}    0.56{col 54}{space 3}0.575{col 62}{space 4}-.0993223{col 75}{space 3} .1787599
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2}  .085911{col 34}{space 2} .0294005{col 45}{space 1}    2.92{col 54}{space 3}0.004{col 62}{space 4} .0282502{col 75}{space 3} .1435718
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.0116301{col 34}{space 2} .0136281{col 45}{space 1}   -0.85{col 54}{space 3}0.394{col 62}{space 4}-.0383578{col 75}{space 3} .0150977
{txt}football_consumption {c |}{col 22}{res}{space 2} .0557022{col 34}{space 2} .0205004{col 45}{space 1}    2.72{col 54}{space 3}0.007{col 62}{space 4} .0154964{col 75}{space 3} .0959081
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}-.0098503{col 34}{space 2} .0278864{col 45}{space 1}   -0.35{col 54}{space 3}0.724{col 62}{space 4}-.0645416{col 75}{space 3} .0448409
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .1901205{col 34}{space 2}  .059991{col 45}{space 1}    3.17{col 54}{space 3}0.002{col 62}{space 4}  .072465{col 75}{space 3} .3077761
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .1811119{col 34}{space 2} .0282531{col 45}{space 1}    6.41{col 54}{space 3}0.000{col 62}{space 4} .1257013{col 75}{space 3} .2365225
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 2.221026{col 34}{space 2} .1609384{col 45}{space 1}   13.80{col 54}{space 3}0.000{col 62}{space 4} 1.905391{col 75}{space 3} 2.536662
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Linear regression                               Number of obs     = {res}     1,907
                                                {txt}F(11, 1895)       =  {res}    18.98
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0972
                                                {txt}Root MSE          =    {res}  1.007

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}qatar_statements_1~a{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.0018452{col 34}{space 2} .0464459{col 45}{space 1}   -0.04{col 54}{space 3}0.968{col 62}{space 4}-.0929357{col 75}{space 3} .0892452
{txt}{space 17}age {c |}{col 22}{res}{space 2} .0072837{col 34}{space 2} .0016836{col 45}{space 1}    4.33{col 54}{space 3}0.000{col 62}{space 4} .0039819{col 75}{space 3} .0105855
{txt}{space 16}male {c |}{col 22}{res}{space 2} .1989122{col 34}{space 2} .0498802{col 45}{space 1}    3.99{col 54}{space 3}0.000{col 62}{space 4} .1010863{col 75}{space 3} .2967382
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} .1142111{col 34}{space 2}  .031708{col 45}{space 1}    3.60{col 54}{space 3}0.000{col 62}{space 4} .0520248{col 75}{space 3} .1763974
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .0661082{col 34}{space 2} .0711028{col 45}{space 1}    0.93{col 54}{space 3}0.353{col 62}{space 4}-.0733398{col 75}{space 3} .2055561
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .1831398{col 34}{space 2} .0314034{col 45}{space 1}    5.83{col 54}{space 3}0.000{col 62}{space 4} .1215509{col 75}{space 3} .2447288
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}  .014299{col 34}{space 2} .0137212{col 45}{space 1}    1.04{col 54}{space 3}0.297{col 62}{space 4}-.0126112{col 75}{space 3} .0412092
{txt}football_consumption {c |}{col 22}{res}{space 2} -.000302{col 34}{space 2}  .021199{col 45}{space 1}   -0.01{col 54}{space 3}0.989{col 62}{space 4}-.0418779{col 75}{space 3} .0412739
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2} .0117758{col 34}{space 2} .0288999{col 45}{space 1}    0.41{col 54}{space 3}0.684{col 62}{space 4}-.0449032{col 75}{space 3} .0684548
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .1408498{col 34}{space 2} .0602868{col 45}{space 1}    2.34{col 54}{space 3}0.020{col 62}{space 4} .0226144{col 75}{space 3} .2590853
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .1980263{col 34}{space 2}  .027841{col 45}{space 1}    7.11{col 54}{space 3}0.000{col 62}{space 4}  .143424{col 75}{space 3} .2526285
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 1.205085{col 34}{space 2} .1654486{col 45}{space 1}    7.28{col 54}{space 3}0.000{col 62}{space 4} .8806047{col 75}{space 3} 1.529566
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Linear regression                               Number of obs     = {res}     1,904
                                                {txt}F(11, 1892)       =  {res}    13.79
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0816
                                                {txt}Root MSE          =    {res} 1.0888

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}qatar_statements_1~l{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}  -.06185{col 34}{space 2} .0500463{col 45}{space 1}   -1.24{col 54}{space 3}0.217{col 62}{space 4}-.1600018{col 75}{space 3} .0363018
{txt}{space 17}age {c |}{col 22}{res}{space 2} .0006214{col 34}{space 2} .0018366{col 45}{space 1}    0.34{col 54}{space 3}0.735{col 62}{space 4}-.0029807{col 75}{space 3} .0042234
{txt}{space 16}male {c |}{col 22}{res}{space 2} .1134431{col 34}{space 2} .0529249{col 45}{space 1}    2.14{col 54}{space 3}0.032{col 62}{space 4} .0096458{col 75}{space 3} .2172403
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}-.0556127{col 34}{space 2} .0331663{col 45}{space 1}   -1.68{col 54}{space 3}0.094{col 62}{space 4}-.1206591{col 75}{space 3} .0094336
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .1189785{col 34}{space 2} .0792812{col 45}{space 1}    1.50{col 54}{space 3}0.134{col 62}{space 4}-.0365093{col 75}{space 3} .2744663
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0605929{col 34}{space 2} .0330594{col 45}{space 1}    1.83{col 54}{space 3}0.067{col 62}{space 4}-.0042439{col 75}{space 3} .1254296
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.0003521{col 34}{space 2} .0150402{col 45}{space 1}   -0.02{col 54}{space 3}0.981{col 62}{space 4}-.0298492{col 75}{space 3} .0291449
{txt}football_consumption {c |}{col 22}{res}{space 2} .1114914{col 34}{space 2} .0231376{col 45}{space 1}    4.82{col 54}{space 3}0.000{col 62}{space 4} .0661136{col 75}{space 3} .1568693
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2} -.114676{col 34}{space 2} .0305776{col 45}{space 1}   -3.75{col 54}{space 3}0.000{col 62}{space 4}-.1746455{col 75}{space 3}-.0547066
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2}  .195025{col 34}{space 2} .0677866{col 45}{space 1}    2.88{col 54}{space 3}0.004{col 62}{space 4} .0620807{col 75}{space 3} .3279693
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .2573661{col 34}{space 2} .0325434{col 45}{space 1}    7.91{col 54}{space 3}0.000{col 62}{space 4} .1935414{col 75}{space 3} .3211908
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 1.732038{col 34}{space 2} .1783764{col 45}{space 1}    9.71{col 54}{space 3}0.000{col 62}{space 4} 1.382203{col 75}{space 3} 2.081873
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Linear regression                               Number of obs     = {res}     1,899
                                                {txt}F(11, 1887)       =  {res}    37.16
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1611
                                                {txt}Root MSE          =    {res} .93829

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}  qat_state_2_worker{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.0076642{col 34}{space 2} .0432885{col 45}{space 1}   -0.18{col 54}{space 3}0.859{col 62}{space 4}-.0925625{col 75}{space 3} .0772342
{txt}{space 17}age {c |}{col 22}{res}{space 2} .0108296{col 34}{space 2} .0015979{col 45}{space 1}    6.78{col 54}{space 3}0.000{col 62}{space 4} .0076957{col 75}{space 3} .0139635
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.0115246{col 34}{space 2} .0459789{col 45}{space 1}   -0.25{col 54}{space 3}0.802{col 62}{space 4}-.1016994{col 75}{space 3} .0786502
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} .0764697{col 34}{space 2} .0294775{col 45}{space 1}    2.59{col 54}{space 3}0.010{col 62}{space 4} .0186577{col 75}{space 3} .1342817
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2}-.0040036{col 34}{space 2} .0669994{col 45}{space 1}   -0.06{col 54}{space 3}0.952{col 62}{space 4}-.1354043{col 75}{space 3} .1273972
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0997033{col 34}{space 2} .0294501{col 45}{space 1}    3.39{col 54}{space 3}0.001{col 62}{space 4} .0419451{col 75}{space 3} .1574616
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.0709232{col 34}{space 2} .0124538{col 45}{space 1}   -5.69{col 54}{space 3}0.000{col 62}{space 4}-.0953478{col 75}{space 3}-.0464986
{txt}football_consumption {c |}{col 22}{res}{space 2}-.0529179{col 34}{space 2} .0199056{col 45}{space 1}   -2.66{col 54}{space 3}0.008{col 62}{space 4}-.0919572{col 75}{space 3}-.0138786
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2} .2246365{col 34}{space 2} .0272515{col 45}{space 1}    8.24{col 54}{space 3}0.000{col 62}{space 4} .1711902{col 75}{space 3} .2780828
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2}-.1710976{col 34}{space 2} .0607608{col 45}{space 1}   -2.82{col 54}{space 3}0.005{col 62}{space 4}-.2902629{col 75}{space 3}-.0519323
{txt}world_regions_russia {c |}{col 22}{res}{space 2}-.2230925{col 34}{space 2} .0277866{col 45}{space 1}   -8.03{col 54}{space 3}0.000{col 62}{space 4}-.2775883{col 75}{space 3}-.1685968
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 3.585878{col 34}{space 2} .1625667{col 45}{space 1}   22.06{col 54}{space 3}0.000{col 62}{space 4} 3.267049{col 75}{space 3} 3.904707
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Linear regression                               Number of obs     = {res}     1,901
                                                {txt}F(11, 1889)       =  {res}    23.23
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1191
                                                {txt}Root MSE          =    {res} .94367

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}   qat_state_2_women{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.1168618{col 34}{space 2} .0435257{col 45}{space 1}   -2.68{col 54}{space 3}0.007{col 62}{space 4}-.2022254{col 75}{space 3}-.0314983
{txt}{space 17}age {c |}{col 22}{res}{space 2} .0107017{col 34}{space 2} .0016552{col 45}{space 1}    6.47{col 54}{space 3}0.000{col 62}{space 4} .0074555{col 75}{space 3} .0139479
{txt}{space 16}male {c |}{col 22}{res}{space 2} -.118889{col 34}{space 2} .0460229{col 45}{space 1}   -2.58{col 54}{space 3}0.010{col 62}{space 4}  -.20915{col 75}{space 3}-.0286281
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} .0224342{col 34}{space 2}  .030202{col 45}{space 1}    0.74{col 54}{space 3}0.458{col 62}{space 4}-.0367986{col 75}{space 3}  .081667
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2}-.0061589{col 34}{space 2} .0653113{col 45}{space 1}   -0.09{col 54}{space 3}0.925{col 62}{space 4}-.1342487{col 75}{space 3} .1219309
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0083715{col 34}{space 2} .0299426{col 45}{space 1}    0.28{col 54}{space 3}0.780{col 62}{space 4}-.0503526{col 75}{space 3} .0670956
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.0395692{col 34}{space 2} .0132888{col 45}{space 1}   -2.98{col 54}{space 3}0.003{col 62}{space 4}-.0656315{col 75}{space 3}-.0135069
{txt}football_consumption {c |}{col 22}{res}{space 2}-.0783623{col 34}{space 2}  .019807{col 45}{space 1}   -3.96{col 54}{space 3}0.000{col 62}{space 4}-.1172081{col 75}{space 3}-.0395165
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2} .1765134{col 34}{space 2} .0273362{col 45}{space 1}    6.46{col 54}{space 3}0.000{col 62}{space 4}  .122901{col 75}{space 3} .2301258
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2}-.1246502{col 34}{space 2} .0621763{col 45}{space 1}   -2.00{col 54}{space 3}0.045{col 62}{space 4}-.2465915{col 75}{space 3}-.0027088
{txt}world_regions_russia {c |}{col 22}{res}{space 2}-.2153593{col 34}{space 2} .0282065{col 45}{space 1}   -7.64{col 54}{space 3}0.000{col 62}{space 4}-.2706784{col 75}{space 3}-.1600402
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 4.028689{col 34}{space 2} .1618972{col 45}{space 1}   24.88{col 54}{space 3}0.000{col 62}{space 4} 3.711173{col 75}{space 3} 4.346205
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Linear regression                               Number of obs     = {res}     1,899
                                                {txt}F(11, 1887)       =  {res}    27.61
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1339
                                                {txt}Root MSE          =    {res} .90504

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}    qat_state_2_lgbt{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.0546626{col 34}{space 2} .0418903{col 45}{space 1}   -1.30{col 54}{space 3}0.192{col 62}{space 4}-.1368187{col 75}{space 3} .0274936
{txt}{space 17}age {c |}{col 22}{res}{space 2} .0124533{col 34}{space 2} .0015686{col 45}{space 1}    7.94{col 54}{space 3}0.000{col 62}{space 4} .0093769{col 75}{space 3} .0155297
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.1118008{col 34}{space 2} .0452716{col 45}{space 1}   -2.47{col 54}{space 3}0.014{col 62}{space 4}-.2005884{col 75}{space 3}-.0230132
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} .0722891{col 34}{space 2} .0304797{col 45}{space 1}    2.37{col 54}{space 3}0.018{col 62}{space 4} .0125118{col 75}{space 3} .1320665
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .0225332{col 34}{space 2} .0630685{col 45}{space 1}    0.36{col 54}{space 3}0.721{col 62}{space 4}-.1011581{col 75}{space 3} .1462246
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0277176{col 34}{space 2}  .028621{col 45}{space 1}    0.97{col 54}{space 3}0.333{col 62}{space 4}-.0284146{col 75}{space 3} .0838498
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.0314397{col 34}{space 2} .0125096{col 45}{space 1}   -2.51{col 54}{space 3}0.012{col 62}{space 4}-.0559738{col 75}{space 3}-.0069056
{txt}football_consumption {c |}{col 22}{res}{space 2} -.052924{col 34}{space 2} .0184506{col 45}{space 1}   -2.87{col 54}{space 3}0.004{col 62}{space 4}-.0891098{col 75}{space 3}-.0167382
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2} .2120234{col 34}{space 2} .0269516{col 45}{space 1}    7.87{col 54}{space 3}0.000{col 62}{space 4} .1591654{col 75}{space 3} .2648815
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2}-.1731107{col 34}{space 2} .0597343{col 45}{space 1}   -2.90{col 54}{space 3}0.004{col 62}{space 4}-.2902629{col 75}{space 3}-.0559584
{txt}world_regions_russia {c |}{col 22}{res}{space 2}-.1898121{col 34}{space 2} .0269632{col 45}{space 1}   -7.04{col 54}{space 3}0.000{col 62}{space 4} -.242693{col 75}{space 3}-.1369312
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 3.797253{col 34}{space 2} .1635683{col 45}{space 1}   23.22{col 54}{space 3}0.000{col 62}{space 4}  3.47646{col 75}{space 3} 4.118047
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         
.         
.         ****************************************************************************
.         *Table A.6.19. Reduced sample: World Cup start and change of opinions about world regions and countries
.         ****************************************************************************    
.         
.         *Control variables
.         #delimit ;
{txt}delimiter now ;
{com}.         global controls_3 = "
>                                                  age
>                                                  male
>                                                  education3 
>                                                  mig_backg 
>                                                  pol_interest 
>                                                  pol_left_right 
>                                                  football_consumption 
>                                                  football_reports
>                                                  born_gdr
>                                                  "
>         ;
{txt}
{com}.         #delimit cr     
{txt}delimiter now cr
{com}.                         
.         *Model 1
.         reg world_regions_arab wave $controls_3 world_regions_russia world_regions_us world_regions_asia world_regions_europe if resond_slowfast!=1, robust 

{txt}Linear regression                               Number of obs     = {res}     1,743
                                                {txt}F(14, 1728)       =  {res}    38.53
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.2453
                                                {txt}Root MSE          =    {res} .64581

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}  world_regions_arab{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2} .0826696{col 34}{space 2} .0312662{col 45}{space 1}    2.64{col 54}{space 3}0.008{col 62}{space 4}  .021346{col 75}{space 3} .1439931
{txt}{space 17}age {c |}{col 22}{res}{space 2}-.0000213{col 34}{space 2} .0011951{col 45}{space 1}   -0.02{col 54}{space 3}0.986{col 62}{space 4}-.0023652{col 75}{space 3} .0023226
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.0123665{col 34}{space 2} .0333132{col 45}{space 1}   -0.37{col 54}{space 3}0.711{col 62}{space 4} -.077705{col 75}{space 3}  .052972
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} .0793984{col 34}{space 2} .0217382{col 45}{space 1}    3.65{col 54}{space 3}0.000{col 62}{space 4} .0367626{col 75}{space 3} .1220343
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2}-.0558146{col 34}{space 2} .0496639{col 45}{space 1}   -1.12{col 54}{space 3}0.261{col 62}{space 4}-.1532223{col 75}{space 3}  .041593
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2}-.0317236{col 34}{space 2}  .020979{col 45}{space 1}   -1.51{col 54}{space 3}0.131{col 62}{space 4}-.0728704{col 75}{space 3} .0094232
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.0350064{col 34}{space 2} .0099086{col 45}{space 1}   -3.53{col 54}{space 3}0.000{col 62}{space 4}-.0544404{col 75}{space 3}-.0155723
{txt}football_consumption {c |}{col 22}{res}{space 2} .0546478{col 34}{space 2} .0141531{col 45}{space 1}    3.86{col 54}{space 3}0.000{col 62}{space 4} .0268889{col 75}{space 3} .0824068
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}-.0545262{col 34}{space 2} .0188568{col 45}{space 1}   -2.89{col 54}{space 3}0.004{col 62}{space 4}-.0915107{col 75}{space 3}-.0175417
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .0354755{col 34}{space 2} .0449417{col 45}{space 1}    0.79{col 54}{space 3}0.430{col 62}{space 4}-.0526704{col 75}{space 3} .1236214
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .2318277{col 34}{space 2} .0224981{col 45}{space 1}   10.30{col 54}{space 3}0.000{col 62}{space 4} .1877014{col 75}{space 3}  .275954
{txt}{space 4}world_regions_us {c |}{col 22}{res}{space 2} .1105543{col 34}{space 2} .0267307{col 45}{space 1}    4.14{col 54}{space 3}0.000{col 62}{space 4} .0581263{col 75}{space 3} .1629823
{txt}{space 2}world_regions_asia {c |}{col 22}{res}{space 2} .2899662{col 34}{space 2} .0272649{col 45}{space 1}   10.64{col 54}{space 3}0.000{col 62}{space 4} .2364904{col 75}{space 3} .3434419
{txt}world_regions_europe {c |}{col 22}{res}{space 2}-.0322571{col 34}{space 2} .0300886{col 45}{space 1}   -1.07{col 54}{space 3}0.284{col 62}{space 4}-.0912711{col 75}{space 3} .0267568
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} .7060777{col 34}{space 2} .1381478{col 45}{space 1}    5.11{col 54}{space 3}0.000{col 62}{space 4} .4351233{col 75}{space 3} .9770322
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         
.         *Model 2
.         reg world_regions_asia wave $controls_3 world_regions_russia world_regions_arab world_regions_us world_regions_europe if resond_slowfast!=1, robust 

{txt}Linear regression                               Number of obs     = {res}     1,743
                                                {txt}F(14, 1728)       =  {res}    47.14
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.2658
                                                {txt}Root MSE          =    {res} .60988

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}  world_regions_asia{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.0455486{col 34}{space 2}  .029484{col 45}{space 1}   -1.54{col 54}{space 3}0.123{col 62}{space 4}-.1033766{col 75}{space 3} .0122794
{txt}{space 17}age {c |}{col 22}{res}{space 2}-.0022076{col 34}{space 2} .0010808{col 45}{space 1}   -2.04{col 54}{space 3}0.041{col 62}{space 4}-.0043275{col 75}{space 3}-.0000877
{txt}{space 16}male {c |}{col 22}{res}{space 2} .0804671{col 34}{space 2} .0318755{col 45}{space 1}    2.52{col 54}{space 3}0.012{col 62}{space 4} .0179485{col 75}{space 3} .1429857
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}  .022846{col 34}{space 2} .0208041{col 45}{space 1}    1.10{col 54}{space 3}0.272{col 62}{space 4}-.0179578{col 75}{space 3} .0636498
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .0821463{col 34}{space 2} .0456782{col 45}{space 1}    1.80{col 54}{space 3}0.072{col 62}{space 4} -.007444{col 75}{space 3} .1717366
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0396512{col 34}{space 2} .0195304{col 45}{space 1}    2.03{col 54}{space 3}0.042{col 62}{space 4} .0013455{col 75}{space 3}  .077957
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.0171094{col 34}{space 2} .0085235{col 45}{space 1}   -2.01{col 54}{space 3}0.045{col 62}{space 4}-.0338269{col 75}{space 3}-.0003919
{txt}football_consumption {c |}{col 22}{res}{space 2}-.0294343{col 34}{space 2} .0135378{col 45}{space 1}   -2.17{col 54}{space 3}0.030{col 62}{space 4}-.0559866{col 75}{space 3} -.002882
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2} .0145987{col 34}{space 2}  .017885{col 45}{space 1}    0.82{col 54}{space 3}0.414{col 62}{space 4}-.0204797{col 75}{space 3} .0496771
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .0843952{col 34}{space 2} .0407815{col 45}{space 1}    2.07{col 54}{space 3}0.039{col 62}{space 4} .0044088{col 75}{space 3} .1643816
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .1798051{col 34}{space 2} .0202917{col 45}{space 1}    8.86{col 54}{space 3}0.000{col 62}{space 4} .1400063{col 75}{space 3}  .219604
{txt}{space 2}world_regions_arab {c |}{col 22}{res}{space 2}  .258598{col 34}{space 2} .0244942{col 45}{space 1}   10.56{col 54}{space 3}0.000{col 62}{space 4} .2105565{col 75}{space 3} .3066394
{txt}{space 4}world_regions_us {c |}{col 22}{res}{space 2} .1313625{col 34}{space 2} .0241661{col 45}{space 1}    5.44{col 54}{space 3}0.000{col 62}{space 4} .0839647{col 75}{space 3} .1787603
{txt}world_regions_europe {c |}{col 22}{res}{space 2} .1722121{col 34}{space 2} .0267944{col 45}{space 1}    6.43{col 54}{space 3}0.000{col 62}{space 4} .1196592{col 75}{space 3}  .224765
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} .8952405{col 34}{space 2}  .125552{col 45}{space 1}    7.13{col 54}{space 3}0.000{col 62}{space 4} .6489906{col 75}{space 3}  1.14149
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
.         *Model 3
.         reg world_regions_europe wave $controls_3 world_regions_russia world_regions_arab world_regions_asia world_regions_us if resond_slowfast!=1, robust 

{txt}Linear regression                               Number of obs     = {res}     1,743
                                                {txt}F(14, 1728)       =  {res}    31.24
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.2341
                                                {txt}Root MSE          =    {res} .59795

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}world_regions_europe{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2} .0043675{col 34}{space 2} .0289332{col 45}{space 1}    0.15{col 54}{space 3}0.880{col 62}{space 4}-.0523803{col 75}{space 3} .0611154
{txt}{space 17}age {c |}{col 22}{res}{space 2} .0037901{col 34}{space 2} .0010724{col 45}{space 1}    3.53{col 54}{space 3}0.000{col 62}{space 4} .0016867{col 75}{space 3} .0058935
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.0263472{col 34}{space 2} .0310543{col 45}{space 1}   -0.85{col 54}{space 3}0.396{col 62}{space 4}-.0872551{col 75}{space 3} .0345607
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} .1392603{col 34}{space 2} .0200822{col 45}{space 1}    6.93{col 54}{space 3}0.000{col 62}{space 4} .0998724{col 75}{space 3} .1786483
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .0012675{col 34}{space 2} .0442821{col 45}{space 1}    0.03{col 54}{space 3}0.977{col 62}{space 4}-.0855846{col 75}{space 3} .0881196
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0843041{col 34}{space 2} .0194513{col 45}{space 1}    4.33{col 54}{space 3}0.000{col 62}{space 4} .0461536{col 75}{space 3} .1224546
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2} .0054832{col 34}{space 2} .0087802{col 45}{space 1}    0.62{col 54}{space 3}0.532{col 62}{space 4}-.0117378{col 75}{space 3} .0227041
{txt}football_consumption {c |}{col 22}{res}{space 2}-.0102531{col 34}{space 2} .0132647{col 45}{space 1}   -0.77{col 54}{space 3}0.440{col 62}{space 4}-.0362696{col 75}{space 3} .0157634
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2} .0868856{col 34}{space 2} .0181943{col 45}{space 1}    4.78{col 54}{space 3}0.000{col 62}{space 4} .0512005{col 75}{space 3} .1225707
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2}-.1189719{col 34}{space 2} .0371639{col 45}{space 1}   -3.20{col 54}{space 3}0.001{col 62}{space 4}-.1918629{col 75}{space 3}-.0460808
{txt}world_regions_russia {c |}{col 22}{res}{space 2}-.0759005{col 34}{space 2} .0200471{col 45}{space 1}   -3.79{col 54}{space 3}0.000{col 62}{space 4}-.1152196{col 75}{space 3}-.0365813
{txt}{space 2}world_regions_arab {c |}{col 22}{res}{space 2}-.0276538{col 34}{space 2} .0258133{col 45}{space 1}   -1.07{col 54}{space 3}0.284{col 62}{space 4}-.0782824{col 75}{space 3} .0229749
{txt}{space 2}world_regions_asia {c |}{col 22}{res}{space 2} .1655442{col 34}{space 2} .0263144{col 45}{space 1}    6.29{col 54}{space 3}0.000{col 62}{space 4} .1139328{col 75}{space 3} .2171557
{txt}{space 4}world_regions_us {c |}{col 22}{res}{space 2} .2768639{col 34}{space 2} .0242648{col 45}{space 1}   11.41{col 54}{space 3}0.000{col 62}{space 4} .2292724{col 75}{space 3} .3244554
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 1.221017{col 34}{space 2} .1294114{col 45}{space 1}    9.44{col 54}{space 3}0.000{col 62}{space 4} .9671971{col 75}{space 3} 1.474836
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         
.         *Model 4
.         reg world_regions_us wave $controls_3 world_regions_russia world_regions_arab world_regions_asia world_regions_europe if resond_slowfast!=1, robust 

{txt}Linear regression                               Number of obs     = {res}     1,743
                                                {txt}F(14, 1728)       =  {res}    28.31
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1954
                                                {txt}Root MSE          =    {res}  .6868

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}    world_regions_us{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.0477919{col 34}{space 2} .0332427{col 45}{space 1}   -1.44{col 54}{space 3}0.151{col 62}{space 4}-.1129921{col 75}{space 3} .0174084
{txt}{space 17}age {c |}{col 22}{res}{space 2}-.0022835{col 34}{space 2} .0012596{col 45}{space 1}   -1.81{col 54}{space 3}0.070{col 62}{space 4} -.004754{col 75}{space 3} .0001871
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.0342682{col 34}{space 2} .0353947{col 45}{space 1}   -0.97{col 54}{space 3}0.333{col 62}{space 4}-.1036891{col 75}{space 3} .0351527
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}-.0823163{col 34}{space 2} .0226388{col 45}{space 1}   -3.64{col 54}{space 3}0.000{col 62}{space 4}-.1267186{col 75}{space 3} -.037914
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2}-.1559782{col 34}{space 2} .0526274{col 45}{space 1}   -2.96{col 54}{space 3}0.003{col 62}{space 4}-.2591982{col 75}{space 3}-.0527581
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2}-.0136595{col 34}{space 2} .0224797{col 45}{space 1}   -0.61{col 54}{space 3}0.544{col 62}{space 4}-.0577499{col 75}{space 3} .0304308
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2} .0224376{col 34}{space 2} .0105014{col 45}{space 1}    2.14{col 54}{space 3}0.033{col 62}{space 4} .0018408{col 75}{space 3} .0430344
{txt}football_consumption {c |}{col 22}{res}{space 2} .0484989{col 34}{space 2} .0149446{col 45}{space 1}    3.25{col 54}{space 3}0.001{col 62}{space 4} .0191875{col 75}{space 3} .0778103
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}-.0571579{col 34}{space 2} .0206348{col 45}{space 1}   -2.77{col 54}{space 3}0.006{col 62}{space 4}-.0976296{col 75}{space 3}-.0166861
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2}-.1241393{col 34}{space 2} .0488118{col 45}{space 1}   -2.54{col 54}{space 3}0.011{col 62}{space 4}-.2198757{col 75}{space 3}-.0284029
{txt}world_regions_russia {c |}{col 22}{res}{space 2}-.0902953{col 34}{space 2} .0249916{col 45}{space 1}   -3.61{col 54}{space 3}0.000{col 62}{space 4}-.1393123{col 75}{space 3}-.0412783
{txt}{space 2}world_regions_arab {c |}{col 22}{res}{space 2} .1250357{col 34}{space 2} .0299171{col 45}{space 1}    4.18{col 54}{space 3}0.000{col 62}{space 4} .0663581{col 75}{space 3} .1837132
{txt}{space 2}world_regions_asia {c |}{col 22}{res}{space 2} .1665912{col 34}{space 2}  .030899{col 45}{space 1}    5.39{col 54}{space 3}0.000{col 62}{space 4} .1059878{col 75}{space 3} .2271945
{txt}world_regions_europe {c |}{col 22}{res}{space 2} .3652552{col 34}{space 2} .0307622{col 45}{space 1}   11.87{col 54}{space 3}0.000{col 62}{space 4} .3049202{col 75}{space 3} .4255903
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 1.292161{col 34}{space 2} .1444345{col 45}{space 1}    8.95{col 54}{space 3}0.000{col 62}{space 4} 1.008876{col 75}{space 3} 1.575445
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                         
.         *Model 5
.         reg world_regions_arab wave $controls_3 world_regions_russia world_regions_us world_regions_asia world_regions_europe if respond_germmatch!=1, robust 

{txt}Linear regression                               Number of obs     = {res}     1,887
                                                {txt}F(14, 1872)       =  {res}    45.81
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.2619
                                                {txt}Root MSE          =    {res} .64801

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}  world_regions_arab{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2} .0841957{col 34}{space 2} .0300924{col 45}{space 1}    2.80{col 54}{space 3}0.005{col 62}{space 4} .0251776{col 75}{space 3} .1432138
{txt}{space 17}age {c |}{col 22}{res}{space 2}-.0001218{col 34}{space 2} .0011361{col 45}{space 1}   -0.11{col 54}{space 3}0.915{col 62}{space 4}-.0023499{col 75}{space 3} .0021064
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.0190448{col 34}{space 2} .0319549{col 45}{space 1}   -0.60{col 54}{space 3}0.551{col 62}{space 4}-.0817159{col 75}{space 3} .0436262
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} .0821191{col 34}{space 2} .0206907{col 45}{space 1}    3.97{col 54}{space 3}0.000{col 62}{space 4} .0415399{col 75}{space 3} .1226984
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2}-.0622802{col 34}{space 2} .0478552{col 45}{space 1}   -1.30{col 54}{space 3}0.193{col 62}{space 4}-.1561354{col 75}{space 3}  .031575
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2}-.0284924{col 34}{space 2} .0203994{col 45}{space 1}   -1.40{col 54}{space 3}0.163{col 62}{space 4}-.0685004{col 75}{space 3} .0115155
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.0390638{col 34}{space 2} .0093921{col 45}{space 1}   -4.16{col 54}{space 3}0.000{col 62}{space 4} -.057484{col 75}{space 3}-.0206437
{txt}football_consumption {c |}{col 22}{res}{space 2} .0597992{col 34}{space 2} .0136517{col 45}{space 1}    4.38{col 54}{space 3}0.000{col 62}{space 4}  .033025{col 75}{space 3} .0865734
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}-.0598783{col 34}{space 2} .0185699{col 45}{space 1}   -3.22{col 54}{space 3}0.001{col 62}{space 4}-.0962983{col 75}{space 3}-.0234584
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .0524762{col 34}{space 2} .0428583{col 45}{space 1}    1.22{col 54}{space 3}0.221{col 62}{space 4}-.0315789{col 75}{space 3} .1365312
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .2415524{col 34}{space 2}  .021928{col 45}{space 1}   11.02{col 54}{space 3}0.000{col 62}{space 4} .1985464{col 75}{space 3} .2845583
{txt}{space 4}world_regions_us {c |}{col 22}{res}{space 2} .1218069{col 34}{space 2} .0261466{col 45}{space 1}    4.66{col 54}{space 3}0.000{col 62}{space 4} .0705273{col 75}{space 3} .1730865
{txt}{space 2}world_regions_asia {c |}{col 22}{res}{space 2} .2870023{col 34}{space 2} .0262321{col 45}{space 1}   10.94{col 54}{space 3}0.000{col 62}{space 4} .2355551{col 75}{space 3} .3384496
{txt}world_regions_europe {c |}{col 22}{res}{space 2}-.0392231{col 34}{space 2} .0285723{col 45}{space 1}   -1.37{col 54}{space 3}0.170{col 62}{space 4}  -.09526{col 75}{space 3} .0168139
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} .7005498{col 34}{space 2} .1292603{col 45}{space 1}    5.42{col 54}{space 3}0.000{col 62}{space 4} .4470403{col 75}{space 3} .9540594
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         
.         *Model 6
.         reg world_regions_asia wave $controls_3 world_regions_russia world_regions_arab world_regions_us world_regions_europe if respond_germmatch!=1, robust 

{txt}Linear regression                               Number of obs     = {res}     1,887
                                                {txt}F(14, 1872)       =  {res}    55.72
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.2779
                                                {txt}Root MSE          =    {res} .61122

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}  world_regions_asia{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.0371258{col 34}{space 2} .0282804{col 45}{space 1}   -1.31{col 54}{space 3}0.189{col 62}{space 4}-.0925903{col 75}{space 3} .0183387
{txt}{space 17}age {c |}{col 22}{res}{space 2}-.0016677{col 34}{space 2}  .001036{col 45}{space 1}   -1.61{col 54}{space 3}0.108{col 62}{space 4}-.0036995{col 75}{space 3} .0003641
{txt}{space 16}male {c |}{col 22}{res}{space 2} .0903487{col 34}{space 2} .0308496{col 45}{space 1}    2.93{col 54}{space 3}0.003{col 62}{space 4} .0298455{col 75}{space 3} .1508519
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} .0233855{col 34}{space 2} .0196946{col 45}{space 1}    1.19{col 54}{space 3}0.235{col 62}{space 4}-.0152402{col 75}{space 3} .0620112
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .0809395{col 34}{space 2} .0443976{col 45}{space 1}    1.82{col 54}{space 3}0.068{col 62}{space 4}-.0061344{col 75}{space 3} .1680135
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0337045{col 34}{space 2} .0188162{col 45}{space 1}    1.79{col 54}{space 3}0.073{col 62}{space 4}-.0031985{col 75}{space 3} .0706075
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.0160783{col 34}{space 2} .0080867{col 45}{space 1}   -1.99{col 54}{space 3}0.047{col 62}{space 4}-.0319383{col 75}{space 3}-.0002184
{txt}football_consumption {c |}{col 22}{res}{space 2}-.0292951{col 34}{space 2} .0130617{col 45}{space 1}   -2.24{col 54}{space 3}0.025{col 62}{space 4}-.0549121{col 75}{space 3}-.0036781
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}  .013368{col 34}{space 2}  .017382{col 45}{space 1}    0.77{col 54}{space 3}0.442{col 62}{space 4}-.0207221{col 75}{space 3} .0474581
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .0599886{col 34}{space 2} .0394211{col 45}{space 1}    1.52{col 54}{space 3}0.128{col 62}{space 4}-.0173254{col 75}{space 3} .1373026
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .1812405{col 34}{space 2}  .019584{col 45}{space 1}    9.25{col 54}{space 3}0.000{col 62}{space 4} .1428317{col 75}{space 3} .2196492
{txt}{space 2}world_regions_arab {c |}{col 22}{res}{space 2} .2553373{col 34}{space 2} .0234958{col 45}{space 1}   10.87{col 54}{space 3}0.000{col 62}{space 4} .2092567{col 75}{space 3}  .301418
{txt}{space 4}world_regions_us {c |}{col 22}{res}{space 2} .1432532{col 34}{space 2} .0233271{col 45}{space 1}    6.14{col 54}{space 3}0.000{col 62}{space 4} .0975034{col 75}{space 3}  .189003
{txt}world_regions_europe {c |}{col 22}{res}{space 2} .1799468{col 34}{space 2} .0253205{col 45}{space 1}    7.11{col 54}{space 3}0.000{col 62}{space 4} .1302875{col 75}{space 3} .2296061
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} .8223327{col 34}{space 2} .1181717{col 45}{space 1}    6.96{col 54}{space 3}0.000{col 62}{space 4} .5905707{col 75}{space 3} 1.054095
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
.         *Model 7
.         reg world_regions_europe wave $controls_3 world_regions_russia world_regions_arab world_regions_asia world_regions_us if respond_germmatch!=1, robust 

{txt}Linear regression                               Number of obs     = {res}     1,887
                                                {txt}F(14, 1872)       =  {res}    35.99
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.2481
                                                {txt}Root MSE          =    {res} .60285

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}world_regions_europe{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.0053657{col 34}{space 2} .0279824{col 45}{space 1}   -0.19{col 54}{space 3}0.848{col 62}{space 4}-.0602457{col 75}{space 3} .0495142
{txt}{space 17}age {c |}{col 22}{res}{space 2}  .004478{col 34}{space 2} .0010265{col 45}{space 1}    4.36{col 54}{space 3}0.000{col 62}{space 4} .0024648{col 75}{space 3} .0064913
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.0231524{col 34}{space 2} .0297878{col 45}{space 1}   -0.78{col 54}{space 3}0.437{col 62}{space 4}-.0815733{col 75}{space 3} .0352685
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} .1386557{col 34}{space 2}  .019196{col 45}{space 1}    7.22{col 54}{space 3}0.000{col 62}{space 4} .1010078{col 75}{space 3} .1763035
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .0262368{col 34}{space 2} .0431641{col 45}{space 1}    0.61{col 54}{space 3}0.543{col 62}{space 4} -.058418{col 75}{space 3} .1108916
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0956146{col 34}{space 2} .0190119{col 45}{space 1}    5.03{col 54}{space 3}0.000{col 62}{space 4} .0583279{col 75}{space 3} .1329013
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.0014715{col 34}{space 2} .0083855{col 45}{space 1}   -0.18{col 54}{space 3}0.861{col 62}{space 4}-.0179175{col 75}{space 3} .0149745
{txt}football_consumption {c |}{col 22}{res}{space 2}-.0088431{col 34}{space 2} .0128481{col 45}{space 1}   -0.69{col 54}{space 3}0.491{col 62}{space 4}-.0340412{col 75}{space 3} .0163549
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2} .0883621{col 34}{space 2} .0174866{col 45}{space 1}    5.05{col 54}{space 3}0.000{col 62}{space 4} .0540667{col 75}{space 3} .1226574
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2}-.1069901{col 34}{space 2} .0365977{col 45}{space 1}   -2.92{col 54}{space 3}0.004{col 62}{space 4}-.1787666{col 75}{space 3}-.0352135
{txt}world_regions_russia {c |}{col 22}{res}{space 2}-.0723543{col 34}{space 2} .0196144{col 45}{space 1}   -3.69{col 54}{space 3}0.000{col 62}{space 4}-.1108227{col 75}{space 3}-.0338858
{txt}{space 2}world_regions_arab {c |}{col 22}{res}{space 2}-.0339464{col 34}{space 2} .0247176{col 45}{space 1}   -1.37{col 54}{space 3}0.170{col 62}{space 4}-.0824234{col 75}{space 3} .0145306
{txt}{space 2}world_regions_asia {c |}{col 22}{res}{space 2}  .175052{col 34}{space 2} .0250332{col 45}{space 1}    6.99{col 54}{space 3}0.000{col 62}{space 4}  .125956{col 75}{space 3}  .224148
{txt}{space 4}world_regions_us {c |}{col 22}{res}{space 2} .2821397{col 34}{space 2}  .023237{col 45}{space 1}   12.14{col 54}{space 3}0.000{col 62}{space 4} .2365665{col 75}{space 3} .3277128
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 1.149894{col 34}{space 2} .1230733{col 45}{space 1}    9.34{col 54}{space 3}0.000{col 62}{space 4} .9085187{col 75}{space 3} 1.391269
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         
.         *Model 8
.         reg world_regions_us wave $controls_3 world_regions_russia world_regions_arab world_regions_asia world_regions_europe if respond_germmatch!=1, robust 

{txt}Linear regression                               Number of obs     = {res}     1,887
                                                {txt}F(14, 1872)       =  {res}    33.05
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.2064
                                                {txt}Root MSE          =    {res} .68772

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}    world_regions_us{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.0381575{col 34}{space 2} .0320331{col 45}{space 1}   -1.19{col 54}{space 3}0.234{col 62}{space 4}-.1009817{col 75}{space 3} .0246668
{txt}{space 17}age {c |}{col 22}{res}{space 2}-.0022197{col 34}{space 2} .0012059{col 45}{space 1}   -1.84{col 54}{space 3}0.066{col 62}{space 4}-.0045849{col 75}{space 3} .0001454
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.0403956{col 34}{space 2} .0339579{col 45}{space 1}   -1.19{col 54}{space 3}0.234{col 62}{space 4}-.1069948{col 75}{space 3} .0262037
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}-.0745747{col 34}{space 2} .0216692{col 45}{space 1}   -3.44{col 54}{space 3}0.001{col 62}{space 4}-.1170732{col 75}{space 3}-.0320763
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} -.159811{col 34}{space 2} .0505712{col 45}{space 1}   -3.16{col 54}{space 3}0.002{col 62}{space 4}-.2589929{col 75}{space 3} -.060629
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2}-.0187934{col 34}{space 2} .0217489{col 45}{space 1}   -0.86{col 54}{space 3}0.388{col 62}{space 4}-.0614481{col 75}{space 3} .0238613
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2} .0190494{col 34}{space 2} .0099081{col 45}{space 1}    1.92{col 54}{space 3}0.055{col 62}{space 4}-.0003826{col 75}{space 3} .0384814
{txt}football_consumption {c |}{col 22}{res}{space 2} .0474077{col 34}{space 2} .0144451{col 45}{space 1}    3.28{col 54}{space 3}0.001{col 62}{space 4} .0190775{col 75}{space 3} .0757379
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}-.0516694{col 34}{space 2} .0199594{col 45}{space 1}   -2.59{col 54}{space 3}0.010{col 62}{space 4}-.0908145{col 75}{space 3}-.0125244
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2}-.1222846{col 34}{space 2} .0471726{col 45}{space 1}   -2.59{col 54}{space 3}0.010{col 62}{space 4}-.2148011{col 75}{space 3}-.0297681
{txt}world_regions_russia {c |}{col 22}{res}{space 2}-.0803827{col 34}{space 2} .0238675{col 45}{space 1}   -3.37{col 54}{space 3}0.001{col 62}{space 4}-.1271923{col 75}{space 3} -.033573
{txt}{space 2}world_regions_arab {c |}{col 22}{res}{space 2}  .137192{col 34}{space 2} .0290696{col 45}{space 1}    4.72{col 54}{space 3}0.000{col 62}{space 4} .0801798{col 75}{space 3} .1942041
{txt}{space 2}world_regions_asia {c |}{col 22}{res}{space 2} .1813561{col 34}{space 2} .0299071{col 45}{space 1}    6.06{col 54}{space 3}0.000{col 62}{space 4} .1227013{col 75}{space 3}  .240011
{txt}world_regions_europe {c |}{col 22}{res}{space 2} .3671716{col 34}{space 2} .0290036{col 45}{space 1}   12.66{col 54}{space 3}0.000{col 62}{space 4} .3102889{col 75}{space 3} .4240544
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 1.211139{col 34}{space 2} .1356042{col 45}{space 1}    8.93{col 54}{space 3}0.000{col 62}{space 4} .9451877{col 75}{space 3}  1.47709
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                         
.         
.         ****************************************************************************
.         *Table A.6.20. Reduced sample: World Cup start and change of opinions about German media and boycott
.         ****************************************************************************    
. 
.         *Control variables
.         #delimit ;
{txt}delimiter now ;
{com}.         global controls_4 = "
>                                                  age
>                                                  male
>                                                  education3 
>                                                  mig_backg 
>                                                  pol_interest 
>                                                  pol_left_right 
>                                                  football_consumption 
>                                                  football_reports
>                                                  born_gdr
>                                                  world_regions_russia
>                                                  "
>         ;
{txt}
{com}.         #delimit cr     
{txt}delimiter now cr
{com}.                                                         
.         *Dependent variables
.         #delimit ;
{txt}delimiter now ;
{com}.         tokenize                           "
>                                                    qat_state_2_speech
>                                                    qat_state_2_critic
>                                                    pol_media_opinion
>                                                    football_boycott_pol 
>                                                    ";
{txt}
{com}.         #delimit cr     
{txt}delimiter now cr
{com}. 
.         *Models 1-8
.         forval j=1/4  {c -(} 
{txt}  2{com}. 
.         reg ``j'' wave $controls_4  if resond_slowfast!=1, robust
{txt}  3{com}.         
.         reg ``j'' wave $controls_4 if respond_germmatch!=1, robust      
{txt}  4{com}.         
.         {c )-}               

{txt}Linear regression                               Number of obs     = {res}     1,751
                                                {txt}F(11, 1739)       =  {res}    32.21
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1663
                                                {txt}Root MSE          =    {res} 1.1015

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}  qat_state_2_speech{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2} .1191121{col 34}{space 2} .0527159{col 45}{space 1}    2.26{col 54}{space 3}0.024{col 62}{space 4} .0157189{col 75}{space 3} .2225053
{txt}{space 17}age {c |}{col 22}{res}{space 2}-.0051721{col 34}{space 2} .0019636{col 45}{space 1}   -2.63{col 54}{space 3}0.009{col 62}{space 4}-.0090233{col 75}{space 3}-.0013209
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.0715225{col 34}{space 2} .0579609{col 45}{space 1}   -1.23{col 54}{space 3}0.217{col 62}{space 4} -.185203{col 75}{space 3} .0421579
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}-.1695407{col 34}{space 2} .0359909{col 45}{space 1}   -4.71{col 54}{space 3}0.000{col 62}{space 4}-.2401307{col 75}{space 3}-.0989507
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .1321806{col 34}{space 2} .0770946{col 45}{space 1}    1.71{col 54}{space 3}0.087{col 62}{space 4}-.0190273{col 75}{space 3} .2833884
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0478545{col 34}{space 2} .0364278{col 45}{space 1}    1.31{col 54}{space 3}0.189{col 62}{space 4}-.0235924{col 75}{space 3} .1193013
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2} .0887682{col 34}{space 2} .0161826{col 45}{space 1}    5.49{col 54}{space 3}0.000{col 62}{space 4} .0570288{col 75}{space 3} .1205076
{txt}football_consumption {c |}{col 22}{res}{space 2} .0569884{col 34}{space 2} .0254037{col 45}{space 1}    2.24{col 54}{space 3}0.025{col 62}{space 4} .0071634{col 75}{space 3} .1068134
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}-.2030899{col 34}{space 2}  .033861{col 45}{space 1}   -6.00{col 54}{space 3}0.000{col 62}{space 4}-.2695025{col 75}{space 3}-.1366774
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .1980732{col 34}{space 2} .0740272{col 45}{space 1}    2.68{col 54}{space 3}0.008{col 62}{space 4} .0528815{col 75}{space 3} .3432648
{txt}world_regions_russia {c |}{col 22}{res}{space 2}  .378194{col 34}{space 2} .0347222{col 45}{space 1}   10.89{col 54}{space 3}0.000{col 62}{space 4} .3100923{col 75}{space 3} .4462956
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 1.823248{col 34}{space 2} .1923632{col 45}{space 1}    9.48{col 54}{space 3}0.000{col 62}{space 4} 1.445961{col 75}{space 3} 2.200536
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Linear regression                               Number of obs     = {res}     1,899
                                                {txt}F(11, 1887)       =  {res}    34.85
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1701
                                                {txt}Root MSE          =    {res}    1.1

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}  qat_state_2_speech{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2} .1080515{col 34}{space 2} .0504019{col 45}{space 1}    2.14{col 54}{space 3}0.032{col 62}{space 4} .0092021{col 75}{space 3} .2069009
{txt}{space 17}age {c |}{col 22}{res}{space 2}-.0054089{col 34}{space 2} .0018771{col 45}{space 1}   -2.88{col 54}{space 3}0.004{col 62}{space 4}-.0090903{col 75}{space 3}-.0017275
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.0797018{col 34}{space 2} .0551104{col 45}{space 1}   -1.45{col 54}{space 3}0.148{col 62}{space 4}-.1877856{col 75}{space 3}  .028382
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}-.1599936{col 34}{space 2} .0341103{col 45}{space 1}   -4.69{col 54}{space 3}0.000{col 62}{space 4}-.2268915{col 75}{space 3}-.0930957
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2}  .117759{col 34}{space 2} .0743204{col 45}{space 1}    1.58{col 54}{space 3}0.113{col 62}{space 4}-.0279998{col 75}{space 3} .2635178
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0366058{col 34}{space 2} .0344811{col 45}{space 1}    1.06{col 54}{space 3}0.289{col 62}{space 4}-.0310193{col 75}{space 3} .1042309
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2} .0917648{col 34}{space 2} .0152389{col 45}{space 1}    6.02{col 54}{space 3}0.000{col 62}{space 4}  .061878{col 75}{space 3} .1216516
{txt}football_consumption {c |}{col 22}{res}{space 2}  .058478{col 34}{space 2} .0242994{col 45}{space 1}    2.41{col 54}{space 3}0.016{col 62}{space 4} .0108215{col 75}{space 3} .1061346
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}-.1846851{col 34}{space 2} .0322332{col 45}{space 1}   -5.73{col 54}{space 3}0.000{col 62}{space 4}-.2479016{col 75}{space 3}-.1214686
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .1900555{col 34}{space 2} .0705748{col 45}{space 1}    2.69{col 54}{space 3}0.007{col 62}{space 4} .0516426{col 75}{space 3} .3284684
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .3980945{col 34}{space 2}  .033018{col 45}{space 1}   12.06{col 54}{space 3}0.000{col 62}{space 4} .3333389{col 75}{space 3}   .46285
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}  1.75575{col 34}{space 2} .1834443{col 45}{space 1}    9.57{col 54}{space 3}0.000{col 62}{space 4} 1.395975{col 75}{space 3} 2.115525
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Linear regression                               Number of obs     = {res}     1,752
                                                {txt}F(11, 1740)       =  {res}    14.86
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0962
                                                {txt}Root MSE          =    {res} 1.1459

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}  qat_state_2_critic{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2} .1058089{col 34}{space 2} .0552186{col 45}{space 1}    1.92{col 54}{space 3}0.056{col 62}{space 4}-.0024929{col 75}{space 3} .2141107
{txt}{space 17}age {c |}{col 22}{res}{space 2}-.0026059{col 34}{space 2} .0020535{col 45}{space 1}   -1.27{col 54}{space 3}0.205{col 62}{space 4}-.0066335{col 75}{space 3} .0014217
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.0526495{col 34}{space 2} .0588673{col 45}{space 1}   -0.89{col 54}{space 3}0.371{col 62}{space 4}-.1681076{col 75}{space 3} .0628085
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} -.082593{col 34}{space 2} .0373847{col 45}{space 1}   -2.21{col 54}{space 3}0.027{col 62}{space 4}-.1559168{col 75}{space 3}-.0092693
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .0868546{col 34}{space 2} .0807906{col 45}{space 1}    1.08{col 54}{space 3}0.282{col 62}{space 4}-.0716022{col 75}{space 3} .2453114
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0143417{col 34}{space 2} .0368999{col 45}{space 1}    0.39{col 54}{space 3}0.698{col 62}{space 4}-.0580311{col 75}{space 3} .0867145
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2} .0536383{col 34}{space 2} .0162459{col 45}{space 1}    3.30{col 54}{space 3}0.001{col 62}{space 4} .0217747{col 75}{space 3} .0855019
{txt}football_consumption {c |}{col 22}{res}{space 2} .0930592{col 34}{space 2} .0249231{col 45}{space 1}    3.73{col 54}{space 3}0.000{col 62}{space 4} .0441768{col 75}{space 3} .1419415
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}-.2076431{col 34}{space 2}  .035582{col 45}{space 1}   -5.84{col 54}{space 3}0.000{col 62}{space 4}-.2774312{col 75}{space 3} -.137855
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2}  .198628{col 34}{space 2} .0724625{col 45}{space 1}    2.74{col 54}{space 3}0.006{col 62}{space 4} .0565051{col 75}{space 3} .3407508
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .2654898{col 34}{space 2} .0351402{col 45}{space 1}    7.56{col 54}{space 3}0.000{col 62}{space 4} .1965684{col 75}{space 3} .3344111
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 2.089185{col 34}{space 2} .2005731{col 45}{space 1}   10.42{col 54}{space 3}0.000{col 62}{space 4} 1.695795{col 75}{space 3} 2.482575
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Linear regression                               Number of obs     = {res}     1,899
                                                {txt}F(11, 1887)       =  {res}    17.10
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1003
                                                {txt}Root MSE          =    {res} 1.1477

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}  qat_state_2_critic{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2} .1109509{col 34}{space 2}  .052925{col 45}{space 1}    2.10{col 54}{space 3}0.036{col 62}{space 4} .0071532{col 75}{space 3} .2147485
{txt}{space 17}age {c |}{col 22}{res}{space 2}-.0038257{col 34}{space 2} .0019614{col 45}{space 1}   -1.95{col 54}{space 3}0.051{col 62}{space 4}-.0076724{col 75}{space 3} .0000211
{txt}{space 16}male {c |}{col 22}{res}{space 2} -.057724{col 34}{space 2} .0565369{col 45}{space 1}   -1.02{col 54}{space 3}0.307{col 62}{space 4}-.1686054{col 75}{space 3} .0531573
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}-.0706457{col 34}{space 2} .0356448{col 45}{space 1}   -1.98{col 54}{space 3}0.048{col 62}{space 4} -.140553{col 75}{space 3}-.0007383
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .0675653{col 34}{space 2} .0775747{col 45}{space 1}    0.87{col 54}{space 3}0.384{col 62}{space 4}-.0845758{col 75}{space 3} .2197065
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0132314{col 34}{space 2} .0350136{col 45}{space 1}    0.38{col 54}{space 3}0.706{col 62}{space 4}-.0554381{col 75}{space 3} .0819009
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2} .0495088{col 34}{space 2} .0153482{col 45}{space 1}    3.23{col 54}{space 3}0.001{col 62}{space 4} .0194075{col 75}{space 3} .0796101
{txt}football_consumption {c |}{col 22}{res}{space 2} .0950706{col 34}{space 2} .0240618{col 45}{space 1}    3.95{col 54}{space 3}0.000{col 62}{space 4}   .04788{col 75}{space 3} .1422613
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}-.1921475{col 34}{space 2} .0338138{col 45}{space 1}   -5.68{col 54}{space 3}0.000{col 62}{space 4}-.2584638{col 75}{space 3}-.1258311
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .2196033{col 34}{space 2} .0694021{col 45}{space 1}    3.16{col 54}{space 3}0.002{col 62}{space 4} .0834905{col 75}{space 3} .3557162
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .2911251{col 34}{space 2} .0332419{col 45}{space 1}    8.76{col 54}{space 3}0.000{col 62}{space 4} .2259303{col 75}{space 3} .3563199
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 2.072463{col 34}{space 2} .1923706{col 45}{space 1}   10.77{col 54}{space 3}0.000{col 62}{space 4} 1.695182{col 75}{space 3} 2.449745
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Linear regression                               Number of obs     = {res}     1,754
                                                {txt}F(11, 1742)       =  {res}    18.86
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1026
                                                {txt}Root MSE          =    {res}  1.073

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}   pol_media_opinion{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2} .1012056{col 34}{space 2} .0512323{col 45}{space 1}    1.98{col 54}{space 3}0.048{col 62}{space 4} .0007223{col 75}{space 3} .2016889
{txt}{space 17}age {c |}{col 22}{res}{space 2}-.0014028{col 34}{space 2} .0019324{col 45}{space 1}   -0.73{col 54}{space 3}0.468{col 62}{space 4}-.0051928{col 75}{space 3} .0023872
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.0099811{col 34}{space 2} .0558249{col 45}{space 1}   -0.18{col 54}{space 3}0.858{col 62}{space 4} -.119472{col 75}{space 3} .0995098
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}-.0269183{col 34}{space 2} .0348679{col 45}{space 1}   -0.77{col 54}{space 3}0.440{col 62}{space 4}-.0953057{col 75}{space 3}  .041469
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .1317626{col 34}{space 2} .0731078{col 45}{space 1}    1.80{col 54}{space 3}0.072{col 62}{space 4}-.0116257{col 75}{space 3} .2751508
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0079676{col 34}{space 2} .0338937{col 45}{space 1}    0.24{col 54}{space 3}0.814{col 62}{space 4} -.058509{col 75}{space 3} .0744441
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2} .0929451{col 34}{space 2} .0145884{col 45}{space 1}    6.37{col 54}{space 3}0.000{col 62}{space 4} .0643326{col 75}{space 3} .1215577
{txt}football_consumption {c |}{col 22}{res}{space 2}  .014086{col 34}{space 2} .0236894{col 45}{space 1}    0.59{col 54}{space 3}0.552{col 62}{space 4}-.0323766{col 75}{space 3} .0605485
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2} .0248365{col 34}{space 2}  .031701{col 45}{space 1}    0.78{col 54}{space 3}0.433{col 62}{space 4}-.0373395{col 75}{space 3} .0870125
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .1453629{col 34}{space 2} .0683144{col 45}{space 1}    2.13{col 54}{space 3}0.033{col 62}{space 4}  .011376{col 75}{space 3} .2793498
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .3083526{col 34}{space 2} .0324601{col 45}{space 1}    9.50{col 54}{space 3}0.000{col 62}{space 4} .2446877{col 75}{space 3} .3720176
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 2.059722{col 34}{space 2} .1770555{col 45}{space 1}   11.63{col 54}{space 3}0.000{col 62}{space 4} 1.712459{col 75}{space 3} 2.406986
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Linear regression                               Number of obs     = {res}     1,902
                                                {txt}F(11, 1890)       =  {res}    18.39
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0941
                                                {txt}Root MSE          =    {res} 1.0714

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}   pol_media_opinion{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2} .1002111{col 34}{space 2} .0490279{col 45}{space 1}    2.04{col 54}{space 3}0.041{col 62}{space 4} .0040565{col 75}{space 3} .1963657
{txt}{space 17}age {c |}{col 22}{res}{space 2}-.0011822{col 34}{space 2} .0018434{col 45}{space 1}   -0.64{col 54}{space 3}0.521{col 62}{space 4}-.0047976{col 75}{space 3} .0024331
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.0086971{col 34}{space 2} .0528681{col 45}{space 1}   -0.16{col 54}{space 3}0.869{col 62}{space 4}-.1123832{col 75}{space 3} .0949889
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} -.031407{col 34}{space 2} .0332606{col 45}{space 1}   -0.94{col 54}{space 3}0.345{col 62}{space 4}-.0966384{col 75}{space 3} .0338244
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .1326345{col 34}{space 2} .0714488{col 45}{space 1}    1.86{col 54}{space 3}0.064{col 62}{space 4}-.0074923{col 75}{space 3} .2727614
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0130977{col 34}{space 2} .0325108{col 45}{space 1}    0.40{col 54}{space 3}0.687{col 62}{space 4}-.0506631{col 75}{space 3} .0768585
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2} .0898468{col 34}{space 2} .0135662{col 45}{space 1}    6.62{col 54}{space 3}0.000{col 62}{space 4} .0632406{col 75}{space 3}  .116453
{txt}football_consumption {c |}{col 22}{res}{space 2} .0190806{col 34}{space 2} .0225708{col 45}{space 1}    0.85{col 54}{space 3}0.398{col 62}{space 4}-.0251857{col 75}{space 3} .0633468
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2} .0203539{col 34}{space 2} .0303466{col 45}{space 1}    0.67{col 54}{space 3}0.502{col 62}{space 4}-.0391624{col 75}{space 3} .0798702
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2}  .132203{col 34}{space 2}  .065355{col 45}{space 1}    2.02{col 54}{space 3}0.043{col 62}{space 4} .0040275{col 75}{space 3} .2603785
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .2911079{col 34}{space 2} .0310274{col 45}{space 1}    9.38{col 54}{space 3}0.000{col 62}{space 4} .2302563{col 75}{space 3} .3519595
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 2.080852{col 34}{space 2} .1677071{col 45}{space 1}   12.41{col 54}{space 3}0.000{col 62}{space 4} 1.751942{col 75}{space 3} 2.409763
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Linear regression                               Number of obs     = {res}     1,760
                                                {txt}F(11, 1748)       =  {res}    19.31
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1035
                                                {txt}Root MSE          =    {res} 1.1601

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}football_boycott_pol{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.1171857{col 34}{space 2} .0555676{col 45}{space 1}   -2.11{col 54}{space 3}0.035{col 62}{space 4}-.2261717{col 75}{space 3}-.0081997
{txt}{space 17}age {c |}{col 22}{res}{space 2}  .004546{col 34}{space 2} .0020957{col 45}{space 1}    2.17{col 54}{space 3}0.030{col 62}{space 4} .0004356{col 75}{space 3} .0086563
{txt}{space 16}male {c |}{col 22}{res}{space 2} -.002722{col 34}{space 2} .0587172{col 45}{space 1}   -0.05{col 54}{space 3}0.963{col 62}{space 4}-.1178854{col 75}{space 3} .1124413
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} .0400193{col 34}{space 2} .0380025{col 45}{space 1}    1.05{col 54}{space 3}0.292{col 62}{space 4}-.0345157{col 75}{space 3} .1145544
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2}-.2138314{col 34}{space 2} .0882673{col 45}{space 1}   -2.42{col 54}{space 3}0.016{col 62}{space 4}-.3869519{col 75}{space 3}-.0407109
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0216934{col 34}{space 2} .0377983{col 45}{space 1}    0.57{col 54}{space 3}0.566{col 62}{space 4}-.0524412{col 75}{space 3} .0958279
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.0613668{col 34}{space 2} .0167352{col 45}{space 1}   -3.67{col 54}{space 3}0.000{col 62}{space 4}-.0941898{col 75}{space 3}-.0285437
{txt}football_consumption {c |}{col 22}{res}{space 2}-.1316632{col 34}{space 2}   .02562{col 45}{space 1}   -5.14{col 54}{space 3}0.000{col 62}{space 4}-.1819122{col 75}{space 3}-.0814141
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2} .2388779{col 34}{space 2} .0344533{col 45}{space 1}    6.93{col 54}{space 3}0.000{col 62}{space 4} .1713039{col 75}{space 3} .3064518
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2}-.1842828{col 34}{space 2} .0751756{col 45}{space 1}   -2.45{col 54}{space 3}0.014{col 62}{space 4}-.3317264{col 75}{space 3}-.0368392
{txt}world_regions_russia {c |}{col 22}{res}{space 2}-.2297304{col 34}{space 2} .0365767{col 45}{space 1}   -6.28{col 54}{space 3}0.000{col 62}{space 4}-.3014691{col 75}{space 3}-.1579917
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 3.905185{col 34}{space 2} .2079222{col 45}{space 1}   18.78{col 54}{space 3}0.000{col 62}{space 4} 3.497383{col 75}{space 3} 4.312988
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Linear regression                               Number of obs     = {res}     1,909
                                                {txt}F(11, 1897)       =  {res}    20.63
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1021
                                                {txt}Root MSE          =    {res}   1.15

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}football_boycott_pol{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.1237891{col 34}{space 2} .0528591{col 45}{space 1}   -2.34{col 54}{space 3}0.019{col 62}{space 4}-.2274573{col 75}{space 3} -.020121
{txt}{space 17}age {c |}{col 22}{res}{space 2} .0062878{col 34}{space 2} .0019879{col 45}{space 1}    3.16{col 54}{space 3}0.002{col 62}{space 4} .0023891{col 75}{space 3} .0101866
{txt}{space 16}male {c |}{col 22}{res}{space 2} .0021423{col 34}{space 2} .0554976{col 45}{space 1}    0.04{col 54}{space 3}0.969{col 62}{space 4}-.1067004{col 75}{space 3}  .110985
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} .0511407{col 34}{space 2}  .035881{col 45}{space 1}    1.43{col 54}{space 3}0.154{col 62}{space 4}-.0192296{col 75}{space 3} .1215111
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2}-.2015148{col 34}{space 2} .0843769{col 45}{space 1}   -2.39{col 54}{space 3}0.017{col 62}{space 4} -.366996{col 75}{space 3}-.0360335
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0298983{col 34}{space 2} .0356693{col 45}{space 1}    0.84{col 54}{space 3}0.402{col 62}{space 4}-.0400568{col 75}{space 3} .0998535
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.0618943{col 34}{space 2} .0155841{col 45}{space 1}   -3.97{col 54}{space 3}0.000{col 62}{space 4} -.092458{col 75}{space 3}-.0313306
{txt}football_consumption {c |}{col 22}{res}{space 2}-.1280006{col 34}{space 2} .0243141{col 45}{space 1}   -5.26{col 54}{space 3}0.000{col 62}{space 4}-.1756858{col 75}{space 3}-.0803154
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2} .2378193{col 34}{space 2} .0327165{col 45}{space 1}    7.27{col 54}{space 3}0.000{col 62}{space 4} .1736552{col 75}{space 3} .3019835
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2}-.1737713{col 34}{space 2}  .072021{col 45}{space 1}   -2.41{col 54}{space 3}0.016{col 62}{space 4}  -.31502{col 75}{space 3}-.0325226
{txt}world_regions_russia {c |}{col 22}{res}{space 2}-.2099785{col 34}{space 2} .0344327{col 45}{space 1}   -6.10{col 54}{space 3}0.000{col 62}{space 4}-.2775085{col 75}{space 3}-.1424485
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 3.728459{col 34}{space 2}  .197627{col 45}{space 1}   18.87{col 54}{space 3}0.000{col 62}{space 4}  3.34087{col 75}{space 3} 4.116048
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         
.         
.         ****************************************************************************
.         *Table A.6.21. Reduced sample: World Cup start and change of political opinions
.         ****************************************************************************    
. 
.         *Control variables
.         #delimit ;
{txt}delimiter now ;
{com}.         global controls_5 = "
>                                                  age
>                                                  male
>                                                  education3 
>                                                  mig_backg 
>                                                  pol_interest 
>                                                  pol_left_right 
>                                                  football_consumption 
>                                                  football_reports
>                                                  born_gdr
>                                                  world_regions_russia
>                                                  "
>         ;
{txt}
{com}.         #delimit cr     
{txt}delimiter now cr
{com}.         
.         *Dependent variables
.         #delimit ;
{txt}delimiter now ;
{com}.         tokenize                           "    
>                                                    pol_woke_female
>                                                    pol_xeno_mosque
>                                                    pol_woke_homo
>                                                    pol_xeno_security
>                                                    ";
{txt}
{com}.         #delimit cr                                                        
{txt}delimiter now cr
{com}. 
.         *Models 1-8
.         forval j=1/4  {c -(} 
{txt}  2{com}. 
.         reg ``j'' wave $controls_5 if resond_slowfast!=1, robust
{txt}  3{com}.         
.         reg ``j'' wave $controls_5 if respond_germmatch!=1, robust
{txt}  4{com}.                 
.         {c )-}                       

{txt}Linear regression                               Number of obs     = {res}     1,756
                                                {txt}F(11, 1744)       =  {res}    14.56
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0938
                                                {txt}Root MSE          =    {res} 1.0218

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}     pol_woke_female{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2} .0103028{col 34}{space 2} .0492599{col 45}{space 1}    0.21{col 54}{space 3}0.834{col 62}{space 4} -.086312{col 75}{space 3} .1069176
{txt}{space 17}age {c |}{col 22}{res}{space 2} .0051641{col 34}{space 2} .0017934{col 45}{space 1}    2.88{col 54}{space 3}0.004{col 62}{space 4} .0016467{col 75}{space 3} .0086816
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.3942639{col 34}{space 2} .0534352{col 45}{space 1}   -7.38{col 54}{space 3}0.000{col 62}{space 4}-.4990677{col 75}{space 3}-.2894601
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} -.070182{col 34}{space 2} .0325014{col 45}{space 1}   -2.16{col 54}{space 3}0.031{col 62}{space 4}-.1339278{col 75}{space 3}-.0064362
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .0764248{col 34}{space 2} .0751734{col 45}{space 1}    1.02{col 54}{space 3}0.309{col 62}{space 4}-.0710148{col 75}{space 3} .2238643
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2}-.0263708{col 34}{space 2} .0325368{col 45}{space 1}   -0.81{col 54}{space 3}0.418{col 62}{space 4} -.090186{col 75}{space 3} .0374444
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.1067228{col 34}{space 2} .0147491{col 45}{space 1}   -7.24{col 54}{space 3}0.000{col 62}{space 4}-.1356505{col 75}{space 3}-.0777951
{txt}football_consumption {c |}{col 22}{res}{space 2} .0048808{col 34}{space 2} .0217715{col 45}{space 1}    0.22{col 54}{space 3}0.823{col 62}{space 4}-.0378202{col 75}{space 3} .0475818
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2} .0073983{col 34}{space 2} .0303255{col 45}{space 1}    0.24{col 54}{space 3}0.807{col 62}{space 4}-.0520799{col 75}{space 3} .0668765
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2}-.1240698{col 34}{space 2} .0675806{col 45}{space 1}   -1.84{col 54}{space 3}0.067{col 62}{space 4}-.2566173{col 75}{space 3} .0084777
{txt}world_regions_russia {c |}{col 22}{res}{space 2}-.0610588{col 34}{space 2} .0317931{col 45}{space 1}   -1.92{col 54}{space 3}0.055{col 62}{space 4}-.1234154{col 75}{space 3} .0012979
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 4.075663{col 34}{space 2} .1759981{col 45}{space 1}   23.16{col 54}{space 3}0.000{col 62}{space 4} 3.730473{col 75}{space 3} 4.420852
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Linear regression                               Number of obs     = {res}     1,904
                                                {txt}F(11, 1892)       =  {res}    14.64
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0847
                                                {txt}Root MSE          =    {res} 1.0208

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}     pol_woke_female{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.0011213{col 34}{space 2} .0471047{col 45}{space 1}   -0.02{col 54}{space 3}0.981{col 62}{space 4} -.093504{col 75}{space 3} .0912614
{txt}{space 17}age {c |}{col 22}{res}{space 2} .0047766{col 34}{space 2} .0016983{col 45}{space 1}    2.81{col 54}{space 3}0.005{col 62}{space 4} .0014459{col 75}{space 3} .0081073
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.3908283{col 34}{space 2} .0506761{col 45}{space 1}   -7.71{col 54}{space 3}0.000{col 62}{space 4}-.4902153{col 75}{space 3}-.2914413
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}-.0632934{col 34}{space 2} .0309618{col 45}{space 1}   -2.04{col 54}{space 3}0.041{col 62}{space 4}-.1240163{col 75}{space 3}-.0025705
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .0547721{col 34}{space 2} .0723152{col 45}{space 1}    0.76{col 54}{space 3}0.449{col 62}{space 4}-.0870537{col 75}{space 3}  .196598
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2}-.0217563{col 34}{space 2}  .031091{col 45}{space 1}   -0.70{col 54}{space 3}0.484{col 62}{space 4}-.0827325{col 75}{space 3} .0392199
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.1032434{col 34}{space 2} .0140139{col 45}{space 1}   -7.37{col 54}{space 3}0.000{col 62}{space 4}-.1307277{col 75}{space 3}-.0757592
{txt}football_consumption {c |}{col 22}{res}{space 2}-.0045412{col 34}{space 2} .0207377{col 45}{space 1}   -0.22{col 54}{space 3}0.827{col 62}{space 4}-.0452123{col 75}{space 3} .0361299
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}  .019474{col 34}{space 2} .0289779{col 45}{space 1}    0.67{col 54}{space 3}0.502{col 62}{space 4} -.037358{col 75}{space 3} .0763059
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2}-.1012128{col 34}{space 2} .0647015{col 45}{space 1}   -1.56{col 54}{space 3}0.118{col 62}{space 4}-.2281067{col 75}{space 3}  .025681
{txt}world_regions_russia {c |}{col 22}{res}{space 2}-.0248864{col 34}{space 2} .0300983{col 45}{space 1}   -0.83{col 54}{space 3}0.408{col 62}{space 4}-.0839157{col 75}{space 3} .0341429
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 3.981355{col 34}{space 2}  .167369{col 45}{space 1}   23.79{col 54}{space 3}0.000{col 62}{space 4} 3.653108{col 75}{space 3} 4.309602
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Linear regression                               Number of obs     = {res}     1,745
                                                {txt}F(11, 1733)       =  {res}    20.80
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1234
                                                {txt}Root MSE          =    {res} 1.2039

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}     pol_xeno_mosque{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.0047199{col 34}{space 2} .0579724{col 45}{space 1}   -0.08{col 54}{space 3}0.935{col 62}{space 4}-.1184232{col 75}{space 3} .1089833
{txt}{space 17}age {c |}{col 22}{res}{space 2}-.0071639{col 34}{space 2} .0022632{col 45}{space 1}   -3.17{col 54}{space 3}0.002{col 62}{space 4}-.0116028{col 75}{space 3}-.0027249
{txt}{space 16}male {c |}{col 22}{res}{space 2} .0351802{col 34}{space 2} .0613733{col 45}{space 1}    0.57{col 54}{space 3}0.567{col 62}{space 4}-.0851934{col 75}{space 3} .1555537
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} .2165262{col 34}{space 2} .0395581{col 45}{space 1}    5.47{col 54}{space 3}0.000{col 62}{space 4} .1389395{col 75}{space 3} .2941129
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .0437047{col 34}{space 2} .0891912{col 45}{space 1}    0.49{col 54}{space 3}0.624{col 62}{space 4}-.1312291{col 75}{space 3} .2186385
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2}-.0149809{col 34}{space 2} .0366783{col 45}{space 1}   -0.41{col 54}{space 3}0.683{col 62}{space 4}-.0869194{col 75}{space 3} .0569576
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.1831307{col 34}{space 2} .0175957{col 45}{space 1}  -10.41{col 54}{space 3}0.000{col 62}{space 4}-.2176417{col 75}{space 3}-.1486197
{txt}football_consumption {c |}{col 22}{res}{space 2} .0783703{col 34}{space 2} .0259518{col 45}{space 1}    3.02{col 54}{space 3}0.003{col 62}{space 4} .0274701{col 75}{space 3} .1292705
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}-.0222239{col 34}{space 2} .0357297{col 45}{space 1}   -0.62{col 54}{space 3}0.534{col 62}{space 4}-.0923017{col 75}{space 3}  .047854
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2}-.1814424{col 34}{space 2} .0766082{col 45}{space 1}   -2.37{col 54}{space 3}0.018{col 62}{space 4}-.3316967{col 75}{space 3}-.0311881
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .1206116{col 34}{space 2} .0368546{col 45}{space 1}    3.27{col 54}{space 3}0.001{col 62}{space 4} .0483274{col 75}{space 3} .1928959
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 3.018412{col 34}{space 2} .2091361{col 45}{space 1}   14.43{col 54}{space 3}0.000{col 62}{space 4} 2.608226{col 75}{space 3} 3.428598
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Linear regression                               Number of obs     = {res}     1,893
                                                {txt}F(11, 1881)       =  {res}    22.54
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1201
                                                {txt}Root MSE          =    {res} 1.2021

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}     pol_xeno_mosque{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.0162065{col 34}{space 2}  .055476{col 45}{space 1}   -0.29{col 54}{space 3}0.770{col 62}{space 4}-.1250074{col 75}{space 3} .0925944
{txt}{space 17}age {c |}{col 22}{res}{space 2}-.0094025{col 34}{space 2} .0021263{col 45}{space 1}   -4.42{col 54}{space 3}0.000{col 62}{space 4}-.0135727{col 75}{space 3}-.0052324
{txt}{space 16}male {c |}{col 22}{res}{space 2} .0348386{col 34}{space 2} .0587337{col 45}{space 1}    0.59{col 54}{space 3}0.553{col 62}{space 4}-.0803515{col 75}{space 3} .1500287
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} .1999644{col 34}{space 2} .0376839{col 45}{space 1}    5.31{col 54}{space 3}0.000{col 62}{space 4} .1260577{col 75}{space 3} .2738711
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .0324453{col 34}{space 2} .0870245{col 45}{space 1}    0.37{col 54}{space 3}0.709{col 62}{space 4}-.1382294{col 75}{space 3} .2031199
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2}-.0026014{col 34}{space 2} .0357993{col 45}{space 1}   -0.07{col 54}{space 3}0.942{col 62}{space 4}-.0728119{col 75}{space 3} .0676092
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.1694202{col 34}{space 2} .0167694{col 45}{space 1}  -10.10{col 54}{space 3}0.000{col 62}{space 4}-.2023088{col 75}{space 3}-.1365315
{txt}football_consumption {c |}{col 22}{res}{space 2}  .075656{col 34}{space 2}  .024937{col 45}{space 1}    3.03{col 54}{space 3}0.002{col 62}{space 4} .0267489{col 75}{space 3} .1245631
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}-.0362159{col 34}{space 2} .0339261{col 45}{space 1}   -1.07{col 54}{space 3}0.286{col 62}{space 4}-.1027528{col 75}{space 3} .0303209
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2}-.1459433{col 34}{space 2} .0735264{col 45}{space 1}   -1.98{col 54}{space 3}0.047{col 62}{space 4}-.2901451{col 75}{space 3}-.0017415
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .1287758{col 34}{space 2} .0353363{col 45}{space 1}    3.64{col 54}{space 3}0.000{col 62}{space 4} .0594733{col 75}{space 3} .1980782
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 3.106741{col 34}{space 2} .1993844{col 45}{space 1}   15.58{col 54}{space 3}0.000{col 62}{space 4} 2.715703{col 75}{space 3} 3.497779
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Linear regression                               Number of obs     = {res}     1,756
                                                {txt}F(11, 1744)       =  {res}    34.17
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1623
                                                {txt}Root MSE          =    {res} 1.2461

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}       pol_woke_homo{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}   .13835{col 34}{space 2} .0599648{col 45}{space 1}    2.31{col 54}{space 3}0.021{col 62}{space 4} .0207394{col 75}{space 3} .2559605
{txt}{space 17}age {c |}{col 22}{res}{space 2}-.0011663{col 34}{space 2}  .002258{col 45}{space 1}   -0.52{col 54}{space 3}0.606{col 62}{space 4}-.0055949{col 75}{space 3} .0032624
{txt}{space 16}male {c |}{col 22}{res}{space 2} .3100979{col 34}{space 2} .0645409{col 45}{space 1}    4.80{col 54}{space 3}0.000{col 62}{space 4} .1835123{col 75}{space 3} .4366836
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}-.1713723{col 34}{space 2} .0408757{col 45}{space 1}   -4.19{col 54}{space 3}0.000{col 62}{space 4}-.2515429{col 75}{space 3}-.0912017
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .2623644{col 34}{space 2} .0868142{col 45}{space 1}    3.02{col 54}{space 3}0.003{col 62}{space 4} .0920935{col 75}{space 3} .4326354
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .1067922{col 34}{space 2} .0393737{col 45}{space 1}    2.71{col 54}{space 3}0.007{col 62}{space 4} .0295676{col 75}{space 3} .1840167
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2} .1792639{col 34}{space 2} .0172199{col 45}{space 1}   10.41{col 54}{space 3}0.000{col 62}{space 4} .1454902{col 75}{space 3} .2130377
{txt}football_consumption {c |}{col 22}{res}{space 2} .0483611{col 34}{space 2} .0265766{col 45}{space 1}    1.82{col 54}{space 3}0.069{col 62}{space 4}-.0037643{col 75}{space 3} .1004865
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}-.1155259{col 34}{space 2} .0368542{col 45}{space 1}   -3.13{col 54}{space 3}0.002{col 62}{space 4}-.1878091{col 75}{space 3}-.0432428
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .0966181{col 34}{space 2} .0778902{col 45}{space 1}    1.24{col 54}{space 3}0.215{col 62}{space 4}-.0561498{col 75}{space 3} .2493861
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .2612033{col 34}{space 2} .0376392{col 45}{space 1}    6.94{col 54}{space 3}0.000{col 62}{space 4} .1873807{col 75}{space 3} .3350259
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 1.339513{col 34}{space 2} .2114626{col 45}{space 1}    6.33{col 54}{space 3}0.000{col 62}{space 4} .9247664{col 75}{space 3}  1.75426
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Linear regression                               Number of obs     = {res}     1,905
                                                {txt}F(11, 1893)       =  {res}    34.76
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1561
                                                {txt}Root MSE          =    {res} 1.2353

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}       pol_woke_homo{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2} .1388521{col 34}{space 2}  .056817{col 45}{space 1}    2.44{col 54}{space 3}0.015{col 62}{space 4} .0274215{col 75}{space 3} .2502826
{txt}{space 17}age {c |}{col 22}{res}{space 2}-.0017267{col 34}{space 2} .0021401{col 45}{space 1}   -0.81{col 54}{space 3}0.420{col 62}{space 4}-.0059239{col 75}{space 3} .0024705
{txt}{space 16}male {c |}{col 22}{res}{space 2} .2676114{col 34}{space 2} .0609542{col 45}{space 1}    4.39{col 54}{space 3}0.000{col 62}{space 4} .1480669{col 75}{space 3} .3871559
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}-.1519961{col 34}{space 2} .0386708{col 45}{space 1}   -3.93{col 54}{space 3}0.000{col 62}{space 4}-.2278381{col 75}{space 3}-.0761541
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .2527682{col 34}{space 2} .0841396{col 45}{space 1}    3.00{col 54}{space 3}0.003{col 62}{space 4} .0877521{col 75}{space 3} .4177843
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0993634{col 34}{space 2} .0373133{col 45}{space 1}    2.66{col 54}{space 3}0.008{col 62}{space 4} .0261839{col 75}{space 3} .1725429
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}   .17746{col 34}{space 2} .0160319{col 45}{space 1}   11.07{col 54}{space 3}0.000{col 62}{space 4}  .146018{col 75}{space 3} .2089021
{txt}football_consumption {c |}{col 22}{res}{space 2} .0648473{col 34}{space 2} .0253778{col 45}{space 1}    2.56{col 54}{space 3}0.011{col 62}{space 4} .0150759{col 75}{space 3} .1146186
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}-.1115787{col 34}{space 2} .0350467{col 45}{space 1}   -3.18{col 54}{space 3}0.001{col 62}{space 4} -.180313{col 75}{space 3}-.0428445
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .0893518{col 34}{space 2} .0743031{col 45}{space 1}    1.20{col 54}{space 3}0.229{col 62}{space 4}-.0563727{col 75}{space 3} .2350762
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .2561051{col 34}{space 2} .0355432{col 45}{space 1}    7.21{col 54}{space 3}0.000{col 62}{space 4} .1863972{col 75}{space 3} .3258131
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 1.326311{col 34}{space 2} .1994751{col 45}{space 1}    6.65{col 54}{space 3}0.000{col 62}{space 4} .9350964{col 75}{space 3} 1.717525
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Linear regression                               Number of obs     = {res}     1,749
                                                {txt}F(11, 1737)       =  {res}    26.02
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1471
                                                {txt}Root MSE          =    {res} 1.1897

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}   pol_xeno_security{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2} .1181367{col 34}{space 2} .0572054{col 45}{space 1}    2.07{col 54}{space 3}0.039{col 62}{space 4}  .005938{col 75}{space 3} .2303353
{txt}{space 17}age {c |}{col 22}{res}{space 2} .0030787{col 34}{space 2} .0021794{col 45}{space 1}    1.41{col 54}{space 3}0.158{col 62}{space 4}-.0011959{col 75}{space 3} .0073532
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.0724514{col 34}{space 2} .0617773{col 45}{space 1}   -1.17{col 54}{space 3}0.241{col 62}{space 4}-.1936171{col 75}{space 3} .0487142
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}-.2587411{col 34}{space 2} .0382591{col 45}{space 1}   -6.76{col 54}{space 3}0.000{col 62}{space 4}-.3337799{col 75}{space 3}-.1837024
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2}-.0330766{col 34}{space 2} .0800208{col 45}{space 1}   -0.41{col 54}{space 3}0.679{col 62}{space 4}-.1900237{col 75}{space 3} .1238706
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0709459{col 34}{space 2} .0386683{col 45}{space 1}    1.83{col 54}{space 3}0.067{col 62}{space 4}-.0048954{col 75}{space 3} .1467872
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2} .2052925{col 34}{space 2} .0176112{col 45}{space 1}   11.66{col 54}{space 3}0.000{col 62}{space 4} .1707511{col 75}{space 3} .2398338
{txt}football_consumption {c |}{col 22}{res}{space 2} .0031652{col 34}{space 2} .0264515{col 45}{space 1}    0.12{col 54}{space 3}0.905{col 62}{space 4}-.0487149{col 75}{space 3} .0550454
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}-.0487205{col 34}{space 2} .0365845{col 45}{space 1}   -1.33{col 54}{space 3}0.183{col 62}{space 4}-.1204748{col 75}{space 3} .0230338
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2}  .113543{col 34}{space 2} .0765188{col 45}{space 1}    1.48{col 54}{space 3}0.138{col 62}{space 4}-.0365357{col 75}{space 3} .2636217
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .0957344{col 34}{space 2} .0359663{col 45}{space 1}    2.66{col 54}{space 3}0.008{col 62}{space 4} .0251926{col 75}{space 3} .1662762
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}  2.14915{col 34}{space 2} .2052842{col 45}{space 1}   10.47{col 54}{space 3}0.000{col 62}{space 4}  1.74652{col 75}{space 3}  2.55178
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Linear regression                               Number of obs     = {res}     1,896
                                                {txt}F(11, 1884)       =  {res}    27.90
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1422
                                                {txt}Root MSE          =    {res} 1.1828

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}   pol_xeno_security{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2} .1170726{col 34}{space 2} .0544065{col 45}{space 1}    2.15{col 54}{space 3}0.032{col 62}{space 4} .0103692{col 75}{space 3}  .223776
{txt}{space 17}age {c |}{col 22}{res}{space 2} .0037997{col 34}{space 2} .0020704{col 45}{space 1}    1.84{col 54}{space 3}0.067{col 62}{space 4}-.0002607{col 75}{space 3} .0078601
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.0639036{col 34}{space 2}  .058419{col 45}{space 1}   -1.09{col 54}{space 3}0.274{col 62}{space 4}-.1784763{col 75}{space 3} .0506691
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}-.2489206{col 34}{space 2} .0363364{col 45}{space 1}   -6.85{col 54}{space 3}0.000{col 62}{space 4}-.3201844{col 75}{space 3}-.1776568
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2}-.0784348{col 34}{space 2} .0772402{col 45}{space 1}   -1.02{col 54}{space 3}0.310{col 62}{space 4}-.2299201{col 75}{space 3} .0730505
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0637966{col 34}{space 2}  .036729{col 45}{space 1}    1.74{col 54}{space 3}0.083{col 62}{space 4}-.0082373{col 75}{space 3} .1358305
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2} .1942875{col 34}{space 2} .0163851{col 45}{space 1}   11.86{col 54}{space 3}0.000{col 62}{space 4} .1621526{col 75}{space 3} .2264224
{txt}football_consumption {c |}{col 22}{res}{space 2} .0125311{col 34}{space 2} .0252136{col 45}{space 1}    0.50{col 54}{space 3}0.619{col 62}{space 4}-.0369184{col 75}{space 3} .0619805
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}-.0280962{col 34}{space 2} .0348267{col 45}{space 1}   -0.81{col 54}{space 3}0.420{col 62}{space 4}-.0963992{col 75}{space 3} .0402068
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .1182681{col 34}{space 2} .0721231{col 45}{space 1}    1.64{col 54}{space 3}0.101{col 62}{space 4}-.0231815{col 75}{space 3} .2597177
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .1168557{col 34}{space 2} .0341155{col 45}{space 1}    3.43{col 54}{space 3}0.001{col 62}{space 4} .0499475{col 75}{space 3} .1837639
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 2.052455{col 34}{space 2} .1942735{col 45}{space 1}   10.56{col 54}{space 3}0.000{col 62}{space 4} 1.671441{col 75}{space 3} 2.433468
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         
.         ****************************************************************************
.         *Table A.6.22. Watching the start of the World Cup with controls for week days (Reference category: Wednesdays)
.         ****************************************************************************    
.         
.         *Control variables
.         #delimit ;
{txt}delimiter now ;
{com}.         global controls_1 = "
>                                                  age
>                                                  male 
>                                                  education3 
>                                                  mig_backg 
>                                                  pol_interest 
>                                                  pol_left_right 
>                                                  football_consumption   
>                                                  football_reports
>                                                  born_gdr
>                                                  world_regions_russia
>                                                  "
>         ;
{txt}
{com}.         #delimit cr
{txt}delimiter now cr
{com}.         
.         *Model 1 
.         reg football_opening_cat $controls_1 monday tuesday if wave==0 , robust 

{txt}Linear regression                               Number of obs     = {res}       963
                                                {txt}F(12, 950)        =  {res}    26.14
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.2331
                                                {txt}Root MSE          =    {res} .65623

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}football_opening_cat{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 17}age {c |}{col 22}{res}{space 2}-.0060919{col 34}{space 2} .0015891{col 45}{space 1}   -3.83{col 54}{space 3}0.000{col 62}{space 4}-.0092105{col 75}{space 3}-.0029734
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.0610888{col 34}{space 2} .0448163{col 45}{space 1}   -1.36{col 54}{space 3}0.173{col 62}{space 4}-.1490392{col 75}{space 3} .0268616
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}-.0758506{col 34}{space 2} .0317477{col 45}{space 1}   -2.39{col 54}{space 3}0.017{col 62}{space 4}-.1381543{col 75}{space 3}-.0135468
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .2119962{col 34}{space 2} .0700397{col 45}{space 1}    3.03{col 54}{space 3}0.003{col 62}{space 4} .0745458{col 75}{space 3} .3494466
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0999071{col 34}{space 2} .0261031{col 45}{space 1}    3.83{col 54}{space 3}0.000{col 62}{space 4} .0486807{col 75}{space 3} .1511335
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2} .0167707{col 34}{space 2} .0116126{col 45}{space 1}    1.44{col 54}{space 3}0.149{col 62}{space 4}-.0060186{col 75}{space 3}   .03956
{txt}football_consumption {c |}{col 22}{res}{space 2} .2542866{col 34}{space 2} .0187326{col 45}{space 1}   13.57{col 54}{space 3}0.000{col 62}{space 4} .2175245{col 75}{space 3} .2910487
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}-.0355784{col 34}{space 2} .0263429{col 45}{space 1}   -1.35{col 54}{space 3}0.177{col 62}{space 4}-.0872754{col 75}{space 3} .0161186
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .1185946{col 34}{space 2} .0572053{col 45}{space 1}    2.07{col 54}{space 3}0.038{col 62}{space 4} .0063312{col 75}{space 3} .2308579
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .0346903{col 34}{space 2} .0268849{col 45}{space 1}    1.29{col 54}{space 3}0.197{col 62}{space 4}-.0180703{col 75}{space 3}  .087451
{txt}{space 14}monday {c |}{col 22}{res}{space 2} -.010518{col 34}{space 2} .1577658{col 45}{space 1}   -0.07{col 54}{space 3}0.947{col 62}{space 4}-.3201277{col 75}{space 3} .2990916
{txt}{space 13}tuesday {c |}{col 22}{res}{space 2}-.0538736{col 34}{space 2}  .158326{col 45}{space 1}   -0.34{col 54}{space 3}0.734{col 62}{space 4}-.3645827{col 75}{space 3} .2568354
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} .9472062{col 34}{space 2} .2274524{col 45}{space 1}    4.16{col 54}{space 3}0.000{col 62}{space 4}  .500839{col 75}{space 3} 1.393574
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 
.         *Model 2
.         reg football_opening_cat $controls_1 monday tuesday if wave==1 , robust 

{txt}Linear regression                               Number of obs     = {res}       963
                                                {txt}F(12, 950)        =  {res}    18.52
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.2109
                                                {txt}Root MSE          =    {res} .57443

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}football_opening_cat{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 17}age {c |}{col 22}{res}{space 2} .0003385{col 34}{space 2}  .001483{col 45}{space 1}    0.23{col 54}{space 3}0.820{col 62}{space 4}-.0025718{col 75}{space 3} .0032487
{txt}{space 16}male {c |}{col 22}{res}{space 2} .0499193{col 34}{space 2} .0390272{col 45}{space 1}    1.28{col 54}{space 3}0.201{col 62}{space 4}-.0266703{col 75}{space 3} .1265088
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} .0622492{col 34}{space 2} .0277092{col 45}{space 1}    2.25{col 54}{space 3}0.025{col 62}{space 4}  .007871{col 75}{space 3} .1166275
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .0940349{col 34}{space 2} .0569013{col 45}{space 1}    1.65{col 54}{space 3}0.099{col 62}{space 4}-.0176319{col 75}{space 3} .2057017
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0823813{col 34}{space 2} .0243174{col 45}{space 1}    3.39{col 54}{space 3}0.001{col 62}{space 4} .0346592{col 75}{space 3} .1301033
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.0153814{col 34}{space 2} .0116391{col 45}{space 1}   -1.32{col 54}{space 3}0.187{col 62}{space 4}-.0382227{col 75}{space 3} .0074599
{txt}football_consumption {c |}{col 22}{res}{space 2} .1963083{col 34}{space 2} .0177698{col 45}{space 1}   11.05{col 54}{space 3}0.000{col 62}{space 4} .1614357{col 75}{space 3} .2311809
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}-.0352311{col 34}{space 2} .0214212{col 45}{space 1}   -1.64{col 54}{space 3}0.100{col 62}{space 4}-.0772694{col 75}{space 3} .0068073
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .0903056{col 34}{space 2} .0531602{col 45}{space 1}    1.70{col 54}{space 3}0.090{col 62}{space 4}-.0140194{col 75}{space 3} .1946306
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .0727269{col 34}{space 2} .0235926{col 45}{space 1}    3.08{col 54}{space 3}0.002{col 62}{space 4} .0264272{col 75}{space 3} .1190266
{txt}{space 14}monday {c |}{col 22}{res}{space 2}-.0560146{col 34}{space 2} .0960162{col 45}{space 1}   -0.58{col 54}{space 3}0.560{col 62}{space 4} -.244443{col 75}{space 3} .1324137
{txt}{space 13}tuesday {c |}{col 22}{res}{space 2}-.1461232{col 34}{space 2} .1000238{col 45}{space 1}   -1.46{col 54}{space 3}0.144{col 62}{space 4}-.3424163{col 75}{space 3} .0501699
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} .5767133{col 34}{space 2} .1666056{col 45}{space 1}    3.46{col 54}{space 3}0.001{col 62}{space 4} .2497558{col 75}{space 3} .9036709
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         
.         
.         ****************************************************************************
.         *Table A.6.23. World Cup start and change of opinions about Qatar with controls for week days (Reference category: Wednesdays)
.         ****************************************************************************    
.         
.         *Control variables
.         #delimit ;
{txt}delimiter now ;
{com}.         global controls_2 = "
>                                                  age
>                                                  male 
>                                                  education3 
>                                                  mig_backg 
>                                                  pol_interest 
>                                                  pol_left_right 
>                                                  football_consumption 
>                                                  football_reports
>                                                  born_gdr
>                                                  world_regions_russia
>                                                  "
>         ;
{txt}
{com}.         #delimit cr
{txt}delimiter now cr
{com}.                 
.         *Dependent variables
.         #delimit ;
{txt}delimiter now ;
{com}.         tokenize                           "
>                                                    qatar_statements_1_influence 
>                                                    qatar_statements_1_aggro
>                                                    qatar_statements_1_tech
>                                                    qatar_statements_1_orga 
>                                                    qatar_statements_1_travel
>                                                    qat_state_2_worker
>                                                    qat_state_2_women
>                                                    qat_state_2_lgbt
>                                                    ";
{txt}
{com}.         #delimit cr     
{txt}delimiter now cr
{com}.         
.         *Models 1-8
.         forval j=1/8  {c -(} 
{txt}  2{com}.         
.         reg ``j'' wave $controls_2 monday tuesday , robust 
{txt}  3{com}.                                 
.         {c )-}               

{txt}Linear regression                               Number of obs     = {res}     1,923
                                                {txt}F(13, 1909)       =  {res}     7.37
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0471
                                                {txt}Root MSE          =    {res} 1.0209

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}qatar_statements_1~e{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.0413813{col 34}{space 2} .0470982{col 45}{space 1}   -0.88{col 54}{space 3}0.380{col 62}{space 4}-.1337506{col 75}{space 3} .0509881
{txt}{space 17}age {c |}{col 22}{res}{space 2} .0011239{col 34}{space 2} .0018495{col 45}{space 1}    0.61{col 54}{space 3}0.543{col 62}{space 4}-.0025032{col 75}{space 3} .0047511
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.0093935{col 34}{space 2} .0501151{col 45}{space 1}   -0.19{col 54}{space 3}0.851{col 62}{space 4}-.1076795{col 75}{space 3} .0888926
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} .0199967{col 34}{space 2} .0343914{col 45}{space 1}    0.58{col 54}{space 3}0.561{col 62}{space 4} -.047452{col 75}{space 3} .0874453
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .1048463{col 34}{space 2} .0725343{col 45}{space 1}    1.45{col 54}{space 3}0.148{col 62}{space 4}-.0374085{col 75}{space 3} .2471011
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .1125278{col 34}{space 2} .0318329{col 45}{space 1}    3.53{col 54}{space 3}0.000{col 62}{space 4} .0500968{col 75}{space 3} .1749588
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.0093067{col 34}{space 2} .0133266{col 45}{space 1}   -0.70{col 54}{space 3}0.485{col 62}{space 4}-.0354429{col 75}{space 3} .0168296
{txt}football_consumption {c |}{col 22}{res}{space 2} .0369375{col 34}{space 2} .0217186{col 45}{space 1}    1.70{col 54}{space 3}0.089{col 62}{space 4}-.0056572{col 75}{space 3} .0795323
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}   .09837{col 34}{space 2} .0293227{col 45}{space 1}    3.35{col 54}{space 3}0.001{col 62}{space 4} .0408622{col 75}{space 3} .1558779
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .1010791{col 34}{space 2} .0617382{col 45}{space 1}    1.64{col 54}{space 3}0.102{col 62}{space 4}-.0200022{col 75}{space 3} .2221605
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .1201102{col 34}{space 2} .0285393{col 45}{space 1}    4.21{col 54}{space 3}0.000{col 62}{space 4} .0641387{col 75}{space 3} .1760816
{txt}{space 14}monday {c |}{col 22}{res}{space 2}-.1052033{col 34}{space 2} .1422477{col 45}{space 1}   -0.74{col 54}{space 3}0.460{col 62}{space 4}-.3841805{col 75}{space 3}  .173774
{txt}{space 13}tuesday {c |}{col 22}{res}{space 2}-.0207797{col 34}{space 2} .1448001{col 45}{space 1}   -0.14{col 54}{space 3}0.886{col 62}{space 4}-.3047627{col 75}{space 3} .2632032
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 2.240512{col 34}{space 2} .2286841{col 45}{space 1}    9.80{col 54}{space 3}0.000{col 62}{space 4} 1.792015{col 75}{space 3} 2.689009
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Linear regression                               Number of obs     = {res}     1,923
                                                {txt}F(13, 1909)       =  {res}     5.12
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0371
                                                {txt}Root MSE          =    {res} 1.0524

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}qatar_statements_1~o{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.0650144{col 34}{space 2} .0484097{col 45}{space 1}   -1.34{col 54}{space 3}0.179{col 62}{space 4}-.1599558{col 75}{space 3} .0299269
{txt}{space 17}age {c |}{col 22}{res}{space 2}-.0010068{col 34}{space 2} .0019382{col 45}{space 1}   -0.52{col 54}{space 3}0.604{col 62}{space 4} -.004808{col 75}{space 3} .0027944
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.1639202{col 34}{space 2} .0521241{col 45}{space 1}   -3.14{col 54}{space 3}0.002{col 62}{space 4}-.2661463{col 75}{space 3}-.0616941
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}-.0360253{col 34}{space 2} .0358143{col 45}{space 1}   -1.01{col 54}{space 3}0.315{col 62}{space 4}-.1062645{col 75}{space 3}  .034214
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2}-.0053027{col 34}{space 2} .0727603{col 45}{space 1}   -0.07{col 54}{space 3}0.942{col 62}{space 4}-.1480008{col 75}{space 3} .1373953
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2}-.0034199{col 34}{space 2} .0320836{col 45}{space 1}   -0.11{col 54}{space 3}0.915{col 62}{space 4}-.0663424{col 75}{space 3} .0595026
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.0136432{col 34}{space 2} .0144268{col 45}{space 1}   -0.95{col 54}{space 3}0.344{col 62}{space 4}-.0419371{col 75}{space 3} .0146507
{txt}football_consumption {c |}{col 22}{res}{space 2}-.0602338{col 34}{space 2} .0222623{col 45}{space 1}   -2.71{col 54}{space 3}0.007{col 62}{space 4}-.1038948{col 75}{space 3}-.0165728
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2} .1349277{col 34}{space 2} .0299546{col 45}{space 1}    4.50{col 54}{space 3}0.000{col 62}{space 4} .0761806{col 75}{space 3} .1936748
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2}-.1071255{col 34}{space 2} .0661351{col 45}{space 1}   -1.62{col 54}{space 3}0.105{col 62}{space 4}  -.23683{col 75}{space 3} .0225791
{txt}world_regions_russia {c |}{col 22}{res}{space 2}-.1166501{col 34}{space 2} .0315073{col 45}{space 1}   -3.70{col 54}{space 3}0.000{col 62}{space 4}-.1784424{col 75}{space 3}-.0548577
{txt}{space 14}monday {c |}{col 22}{res}{space 2} .0802951{col 34}{space 2} .1269669{col 45}{space 1}    0.63{col 54}{space 3}0.527{col 62}{space 4}-.1687132{col 75}{space 3} .3293035
{txt}{space 13}tuesday {c |}{col 22}{res}{space 2} .0084558{col 34}{space 2} .1305387{col 45}{space 1}    0.06{col 54}{space 3}0.948{col 62}{space 4}-.2475578{col 75}{space 3} .2644693
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 3.632953{col 34}{space 2} .2317875{col 45}{space 1}   15.67{col 54}{space 3}0.000{col 62}{space 4}  3.17837{col 75}{space 3} 4.087537
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Linear regression                               Number of obs     = {res}     1,922
                                                {txt}F(13, 1908)       =  {res}     7.63
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0538
                                                {txt}Root MSE          =    {res} .97555

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}qatar_statements_1~h{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.0795946{col 34}{space 2} .0448968{col 45}{space 1}   -1.77{col 54}{space 3}0.076{col 62}{space 4}-.1676466{col 75}{space 3} .0084573
{txt}{space 17}age {c |}{col 22}{res}{space 2}-.0004703{col 34}{space 2}  .001746{col 45}{space 1}   -0.27{col 54}{space 3}0.788{col 62}{space 4}-.0038945{col 75}{space 3}  .002954
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.2008477{col 34}{space 2} .0477965{col 45}{space 1}   -4.20{col 54}{space 3}0.000{col 62}{space 4}-.2945866{col 75}{space 3}-.1071087
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}-.0113892{col 34}{space 2} .0333972{col 45}{space 1}   -0.34{col 54}{space 3}0.733{col 62}{space 4} -.076888{col 75}{space 3} .0541096
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .0377994{col 34}{space 2} .0704482{col 45}{space 1}    0.54{col 54}{space 3}0.592{col 62}{space 4}-.1003642{col 75}{space 3} .1759629
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0863867{col 34}{space 2} .0294465{col 45}{space 1}    2.93{col 54}{space 3}0.003{col 62}{space 4}  .028636{col 75}{space 3} .1441374
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.0103958{col 34}{space 2} .0137083{col 45}{space 1}   -0.76{col 54}{space 3}0.448{col 62}{space 4}-.0372806{col 75}{space 3}  .016489
{txt}football_consumption {c |}{col 22}{res}{space 2} .0561576{col 34}{space 2} .0204341{col 45}{space 1}    2.75{col 54}{space 3}0.006{col 62}{space 4} .0160821{col 75}{space 3} .0962331
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}-.0128412{col 34}{space 2} .0278673{col 45}{space 1}   -0.46{col 54}{space 3}0.645{col 62}{space 4}-.0674947{col 75}{space 3} .0418124
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .2100837{col 34}{space 2} .0605271{col 45}{space 1}    3.47{col 54}{space 3}0.001{col 62}{space 4} .0913774{col 75}{space 3}   .32879
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .1779324{col 34}{space 2} .0284045{col 45}{space 1}    6.26{col 54}{space 3}0.000{col 62}{space 4} .1222253{col 75}{space 3} .2336395
{txt}{space 14}monday {c |}{col 22}{res}{space 2}-.1768647{col 34}{space 2} .1359934{col 45}{space 1}   -1.30{col 54}{space 3}0.194{col 62}{space 4}-.4435761{col 75}{space 3} .0898467
{txt}{space 13}tuesday {c |}{col 22}{res}{space 2}-.2200722{col 34}{space 2} .1394331{col 45}{space 1}   -1.58{col 54}{space 3}0.115{col 62}{space 4}-.4935295{col 75}{space 3} .0533851
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 2.358398{col 34}{space 2}  .221624{col 45}{space 1}   10.64{col 54}{space 3}0.000{col 62}{space 4} 1.923747{col 75}{space 3} 2.793049
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Linear regression                               Number of obs     = {res}     1,926
                                                {txt}F(13, 1912)       =  {res}    16.68
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1008
                                                {txt}Root MSE          =    {res} 1.0084

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}qatar_statements_1~a{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2} .0006572{col 34}{space 2}  .046509{col 45}{space 1}    0.01{col 54}{space 3}0.989{col 62}{space 4}-.0905566{col 75}{space 3}  .091871
{txt}{space 17}age {c |}{col 22}{res}{space 2} .0065152{col 34}{space 2} .0018006{col 45}{space 1}    3.62{col 54}{space 3}0.000{col 62}{space 4} .0029839{col 75}{space 3} .0100465
{txt}{space 16}male {c |}{col 22}{res}{space 2} .2010939{col 34}{space 2} .0505498{col 45}{space 1}    3.98{col 54}{space 3}0.000{col 62}{space 4} .1019553{col 75}{space 3} .3002325
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} .0957838{col 34}{space 2} .0344892{col 45}{space 1}    2.78{col 54}{space 3}0.006{col 62}{space 4} .0281434{col 75}{space 3} .1634241
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .0665393{col 34}{space 2} .0706918{col 45}{space 1}    0.94{col 54}{space 3}0.347{col 62}{space 4}-.0721019{col 75}{space 3} .2051805
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .1824945{col 34}{space 2} .0313331{col 45}{space 1}    5.82{col 54}{space 3}0.000{col 62}{space 4} .1210437{col 75}{space 3} .2439452
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2} .0127888{col 34}{space 2} .0136825{col 45}{space 1}    0.93{col 54}{space 3}0.350{col 62}{space 4}-.0140454{col 75}{space 3}  .039623
{txt}football_consumption {c |}{col 22}{res}{space 2} -.000602{col 34}{space 2}  .021186{col 45}{space 1}   -0.03{col 54}{space 3}0.977{col 62}{space 4} -.042152{col 75}{space 3}  .040948
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2} .0081676{col 34}{space 2} .0288089{col 45}{space 1}    0.28{col 54}{space 3}0.777{col 62}{space 4}-.0483326{col 75}{space 3} .0646677
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .1261444{col 34}{space 2} .0603244{col 45}{space 1}    2.09{col 54}{space 3}0.037{col 62}{space 4} .0078358{col 75}{space 3} .2444529
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .2034452{col 34}{space 2} .0278186{col 45}{space 1}    7.31{col 54}{space 3}0.000{col 62}{space 4} .1488872{col 75}{space 3} .2580031
{txt}{space 14}monday {c |}{col 22}{res}{space 2}-.3395055{col 34}{space 2}  .130051{col 45}{space 1}   -2.61{col 54}{space 3}0.009{col 62}{space 4}-.5945622{col 75}{space 3}-.0844488
{txt}{space 13}tuesday {c |}{col 22}{res}{space 2}-.2627365{col 34}{space 2} .1331293{col 45}{space 1}   -1.97{col 54}{space 3}0.049{col 62}{space 4}-.5238304{col 75}{space 3}-.0016425
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 1.595719{col 34}{space 2}  .221084{col 45}{space 1}    7.22{col 54}{space 3}0.000{col 62}{space 4} 1.162128{col 75}{space 3}  2.02931
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Linear regression                               Number of obs     = {res}     1,923
                                                {txt}F(13, 1909)       =  {res}    12.01
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0835
                                                {txt}Root MSE          =    {res} 1.0888

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}qatar_statements_1~l{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.0629359{col 34}{space 2} .0499111{col 45}{space 1}   -1.26{col 54}{space 3}0.207{col 62}{space 4}-.1608219{col 75}{space 3}   .03495
{txt}{space 17}age {c |}{col 22}{res}{space 2} .0011502{col 34}{space 2} .0019647{col 45}{space 1}    0.59{col 54}{space 3}0.558{col 62}{space 4} -.002703{col 75}{space 3} .0050034
{txt}{space 16}male {c |}{col 22}{res}{space 2} .1208762{col 34}{space 2} .0532069{col 45}{space 1}    2.27{col 54}{space 3}0.023{col 62}{space 4} .0165264{col 75}{space 3}  .225226
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}-.0440416{col 34}{space 2}  .036604{col 45}{space 1}   -1.20{col 54}{space 3}0.229{col 62}{space 4}-.1158297{col 75}{space 3} .0277464
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .1213805{col 34}{space 2} .0789252{col 45}{space 1}    1.54{col 54}{space 3}0.124{col 62}{space 4}-.0334082{col 75}{space 3} .2761693
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0642209{col 34}{space 2} .0330079{col 45}{space 1}    1.95{col 54}{space 3}0.052{col 62}{space 4}-.0005145{col 75}{space 3} .1289563
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2} -.001167{col 34}{space 2} .0149802{col 45}{space 1}   -0.08{col 54}{space 3}0.938{col 62}{space 4}-.0305463{col 75}{space 3} .0282124
{txt}football_consumption {c |}{col 22}{res}{space 2} .1137204{col 34}{space 2} .0230362{col 45}{space 1}    4.94{col 54}{space 3}0.000{col 62}{space 4} .0685417{col 75}{space 3} .1588992
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}-.1190112{col 34}{space 2} .0304136{col 45}{space 1}   -3.91{col 54}{space 3}0.000{col 62}{space 4}-.1786586{col 75}{space 3}-.0593638
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .1981591{col 34}{space 2} .0676197{col 45}{space 1}    2.93{col 54}{space 3}0.003{col 62}{space 4} .0655428{col 75}{space 3} .3307754
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .2562432{col 34}{space 2} .0323596{col 45}{space 1}    7.92{col 54}{space 3}0.000{col 62}{space 4} .1927794{col 75}{space 3} .3197071
{txt}{space 14}monday {c |}{col 22}{res}{space 2}-.1900675{col 34}{space 2} .1438659{col 45}{space 1}   -1.32{col 54}{space 3}0.187{col 62}{space 4}-.4722184{col 75}{space 3} .0920834
{txt}{space 13}tuesday {c |}{col 22}{res}{space 2}-.2344602{col 34}{space 2} .1466104{col 45}{space 1}   -1.60{col 54}{space 3}0.110{col 62}{space 4}-.5219936{col 75}{space 3} .0530732
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 1.883277{col 34}{space 2}  .242526{col 45}{space 1}    7.77{col 54}{space 3}0.000{col 62}{space 4} 1.407633{col 75}{space 3} 2.358921
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Linear regression                               Number of obs     = {res}     1,918
                                                {txt}F(13, 1904)       =  {res}    31.88
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1618
                                                {txt}Root MSE          =    {res} .93803

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}  qat_state_2_worker{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.0086463{col 34}{space 2} .0432099{col 45}{space 1}   -0.20{col 54}{space 3}0.841{col 62}{space 4}-.0933899{col 75}{space 3} .0760974
{txt}{space 17}age {c |}{col 22}{res}{space 2} .0105019{col 34}{space 2} .0017158{col 45}{space 1}    6.12{col 54}{space 3}0.000{col 62}{space 4} .0071369{col 75}{space 3} .0138669
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.0151634{col 34}{space 2} .0460795{col 45}{space 1}   -0.33{col 54}{space 3}0.742{col 62}{space 4} -.105535{col 75}{space 3} .0752081
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} .0679195{col 34}{space 2} .0323928{col 45}{space 1}    2.10{col 54}{space 3}0.036{col 62}{space 4} .0043903{col 75}{space 3} .1314486
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2}-.0121102{col 34}{space 2} .0667937{col 45}{space 1}   -0.18{col 54}{space 3}0.856{col 62}{space 4}-.1431067{col 75}{space 3} .1188863
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0991956{col 34}{space 2} .0292938{col 45}{space 1}    3.39{col 54}{space 3}0.001{col 62}{space 4} .0417442{col 75}{space 3} .1566469
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.0701944{col 34}{space 2} .0123998{col 45}{space 1}   -5.66{col 54}{space 3}0.000{col 62}{space 4} -.094513{col 75}{space 3}-.0458758
{txt}football_consumption {c |}{col 22}{res}{space 2}-.0558282{col 34}{space 2} .0198488{col 45}{space 1}   -2.81{col 54}{space 3}0.005{col 62}{space 4}-.0947559{col 75}{space 3}-.0169005
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2} .2261004{col 34}{space 2} .0270346{col 45}{space 1}    8.36{col 54}{space 3}0.000{col 62}{space 4} .1730798{col 75}{space 3} .2791209
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2}-.1718795{col 34}{space 2} .0603538{col 45}{space 1}   -2.85{col 54}{space 3}0.004{col 62}{space 4}-.2902461{col 75}{space 3} -.053513
{txt}world_regions_russia {c |}{col 22}{res}{space 2}-.2226285{col 34}{space 2} .0276018{col 45}{space 1}   -8.07{col 54}{space 3}0.000{col 62}{space 4}-.2767614{col 75}{space 3}-.1684955
{txt}{space 14}monday {c |}{col 22}{res}{space 2} .0445959{col 34}{space 2} .1139218{col 45}{space 1}    0.39{col 54}{space 3}0.696{col 62}{space 4}-.1788287{col 75}{space 3} .2680205
{txt}{space 13}tuesday {c |}{col 22}{res}{space 2} .0825405{col 34}{space 2} .1158289{col 45}{space 1}    0.71{col 54}{space 3}0.476{col 62}{space 4}-.1446243{col 75}{space 3} .3097053
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}  3.56456{col 34}{space 2} .2070681{col 45}{space 1}   17.21{col 54}{space 3}0.000{col 62}{space 4} 3.158456{col 75}{space 3} 3.970664
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Linear regression                               Number of obs     = {res}     1,920
                                                {txt}F(13, 1906)       =  {res}    20.03
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1208
                                                {txt}Root MSE          =    {res}  .9418

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}   qat_state_2_women{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.1110495{col 34}{space 2} .0434715{col 45}{space 1}   -2.55{col 54}{space 3}0.011{col 62}{space 4}-.1963062{col 75}{space 3}-.0257927
{txt}{space 17}age {c |}{col 22}{res}{space 2} .0095159{col 34}{space 2} .0017539{col 45}{space 1}    5.43{col 54}{space 3}0.000{col 62}{space 4} .0060761{col 75}{space 3} .0129557
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.1291012{col 34}{space 2} .0461452{col 45}{space 1}   -2.80{col 54}{space 3}0.005{col 62}{space 4}-.2196016{col 75}{space 3}-.0386009
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}-.0009013{col 34}{space 2} .0330369{col 45}{space 1}   -0.03{col 54}{space 3}0.978{col 62}{space 4}-.0656935{col 75}{space 3}  .063891
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2}-.0110407{col 34}{space 2} .0650668{col 45}{space 1}   -0.17{col 54}{space 3}0.865{col 62}{space 4}-.1386503{col 75}{space 3} .1165689
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0077917{col 34}{space 2} .0297676{col 45}{space 1}    0.26{col 54}{space 3}0.794{col 62}{space 4}-.0505888{col 75}{space 3} .0661723
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2} -.039879{col 34}{space 2} .0132275{col 45}{space 1}   -3.01{col 54}{space 3}0.003{col 62}{space 4}-.0658209{col 75}{space 3}-.0139372
{txt}football_consumption {c |}{col 22}{res}{space 2}-.0797949{col 34}{space 2} .0197274{col 45}{space 1}   -4.04{col 54}{space 3}0.000{col 62}{space 4}-.1184846{col 75}{space 3}-.0411053
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2} .1750221{col 34}{space 2} .0270488{col 45}{space 1}    6.47{col 54}{space 3}0.000{col 62}{space 4} .1219738{col 75}{space 3} .2280704
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2}-.1263761{col 34}{space 2}   .06151{col 45}{space 1}   -2.05{col 54}{space 3}0.040{col 62}{space 4}  -.24701{col 75}{space 3}-.0057422
{txt}world_regions_russia {c |}{col 22}{res}{space 2}-.2164071{col 34}{space 2} .0280536{col 45}{space 1}   -7.71{col 54}{space 3}0.000{col 62}{space 4} -.271426{col 75}{space 3}-.1613881
{txt}{space 14}monday {c |}{col 22}{res}{space 2}-.0327165{col 34}{space 2} .1048927{col 45}{space 1}   -0.31{col 54}{space 3}0.755{col 62}{space 4}-.2384331{col 75}{space 3} .1730001
{txt}{space 13}tuesday {c |}{col 22}{res}{space 2} .0541787{col 34}{space 2} .1065546{col 45}{space 1}    0.51{col 54}{space 3}0.611{col 62}{space 4}-.1547973{col 75}{space 3} .2631547
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 4.151179{col 34}{space 2} .2024782{col 45}{space 1}   20.50{col 54}{space 3}0.000{col 62}{space 4} 3.754077{col 75}{space 3} 4.548281
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Linear regression                               Number of obs     = {res}     1,918
                                                {txt}F(13, 1904)       =  {res}    24.25
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1374
                                                {txt}Root MSE          =    {res} .90216

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}    qat_state_2_lgbt{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.0535452{col 34}{space 2}  .041662{col 45}{space 1}   -1.29{col 54}{space 3}0.199{col 62}{space 4}-.1352532{col 75}{space 3} .0281627
{txt}{space 17}age {c |}{col 22}{res}{space 2} .0108071{col 34}{space 2} .0016583{col 45}{space 1}    6.52{col 54}{space 3}0.000{col 62}{space 4} .0075549{col 75}{space 3} .0140593
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.1175528{col 34}{space 2} .0455518{col 45}{space 1}   -2.58{col 54}{space 3}0.010{col 62}{space 4}-.2068894{col 75}{space 3}-.0282161
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} .0408869{col 34}{space 2} .0333737{col 45}{space 1}    1.23{col 54}{space 3}0.221{col 62}{space 4}-.0245659{col 75}{space 3} .1063398
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .0145275{col 34}{space 2} .0627715{col 45}{space 1}    0.23{col 54}{space 3}0.817{col 62}{space 4}-.1085805{col 75}{space 3} .1376356
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0260992{col 34}{space 2}  .028396{col 45}{space 1}    0.92{col 54}{space 3}0.358{col 62}{space 4}-.0295913{col 75}{space 3} .0817898
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.0312813{col 34}{space 2} .0125064{col 45}{space 1}   -2.50{col 54}{space 3}0.012{col 62}{space 4}-.0558089{col 75}{space 3}-.0067537
{txt}football_consumption {c |}{col 22}{res}{space 2}-.0542625{col 34}{space 2} .0183472{col 45}{space 1}   -2.96{col 54}{space 3}0.003{col 62}{space 4}-.0902451{col 75}{space 3}-.0182798
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2} .2089391{col 34}{space 2}   .02673{col 45}{space 1}    7.82{col 54}{space 3}0.000{col 62}{space 4}  .156516{col 75}{space 3} .2613622
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2}-.1823103{col 34}{space 2} .0589291{col 45}{space 1}   -3.09{col 54}{space 3}0.002{col 62}{space 4}-.2978826{col 75}{space 3} -.066738
{txt}world_regions_russia {c |}{col 22}{res}{space 2}-.1880001{col 34}{space 2} .0268581{col 45}{space 1}   -7.00{col 54}{space 3}0.000{col 62}{space 4}-.2406744{col 75}{space 3}-.1353257
{txt}{space 14}monday {c |}{col 22}{res}{space 2} -.194566{col 34}{space 2}  .086841{col 45}{space 1}   -2.24{col 54}{space 3}0.025{col 62}{space 4}-.3648795{col 75}{space 3}-.0242526
{txt}{space 13}tuesday {c |}{col 22}{res}{space 2}-.0714861{col 34}{space 2} .0877684{col 45}{space 1}   -0.81{col 54}{space 3}0.415{col 62}{space 4}-.2436185{col 75}{space 3} .1006462
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 4.101629{col 34}{space 2} .1980054{col 45}{space 1}   20.71{col 54}{space 3}0.000{col 62}{space 4} 3.713299{col 75}{space 3} 4.489959
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         
.         
.         ****************************************************************************
.         *Table A.6.24. World Cup start and change of opinions about world regions and countries with controls for week days (Reference category: Wednesdays)
.         ****************************************************************************    
.         
.         *Control variables
.         #delimit ;
{txt}delimiter now ;
{com}.         global controls_3 = "
>                                                  age
>                                                  male
>                                                  education3 
>                                                  mig_backg 
>                                                  pol_interest 
>                                                  pol_left_right 
>                                                  football_consumption 
>                                                  football_reports
>                                                  born_gdr
>                                                  "
>         ;
{txt}
{com}.         #delimit cr     
{txt}delimiter now cr
{com}.                         
.         *Model 1
.         reg world_regions_arab wave $controls_3 world_regions_russia world_regions_us world_regions_asia world_regions_europe monday tuesday , robust

{txt}Linear regression                               Number of obs     = {res}     1,906
                                                {txt}F(16, 1889)       =  {res}    40.34
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.2615
                                                {txt}Root MSE          =    {res} .64798

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}  world_regions_arab{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}  .084141{col 34}{space 2} .0301064{col 45}{space 1}    2.79{col 54}{space 3}0.005{col 62}{space 4} .0250957{col 75}{space 3} .1431862
{txt}{space 17}age {c |}{col 22}{res}{space 2} .0005219{col 34}{space 2} .0012172{col 45}{space 1}    0.43{col 54}{space 3}0.668{col 62}{space 4}-.0018654{col 75}{space 3} .0029091
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.0195218{col 34}{space 2} .0321924{col 45}{space 1}   -0.61{col 54}{space 3}0.544{col 62}{space 4}-.0826582{col 75}{space 3} .0436145
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} .0923686{col 34}{space 2}  .022885{col 45}{space 1}    4.04{col 54}{space 3}0.000{col 62}{space 4}  .047486{col 75}{space 3} .1372512
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2}-.0644261{col 34}{space 2} .0476708{col 45}{space 1}   -1.35{col 54}{space 3}0.177{col 62}{space 4}-.1579191{col 75}{space 3} .0290669
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2}-.0291125{col 34}{space 2} .0202866{col 45}{space 1}   -1.44{col 54}{space 3}0.151{col 62}{space 4}-.0688989{col 75}{space 3}  .010674
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.0376926{col 34}{space 2} .0093459{col 45}{space 1}   -4.03{col 54}{space 3}0.000{col 62}{space 4} -.056022{col 75}{space 3}-.0193632
{txt}football_consumption {c |}{col 22}{res}{space 2} .0604262{col 34}{space 2} .0135921{col 45}{space 1}    4.45{col 54}{space 3}0.000{col 62}{space 4} .0337691{col 75}{space 3} .0870833
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}-.0562999{col 34}{space 2} .0185381{col 45}{space 1}   -3.04{col 54}{space 3}0.002{col 62}{space 4}-.0926573{col 75}{space 3}-.0199426
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .0507747{col 34}{space 2} .0425852{col 45}{space 1}    1.19{col 54}{space 3}0.233{col 62}{space 4}-.0327443{col 75}{space 3} .1342936
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .2429735{col 34}{space 2} .0217374{col 45}{space 1}   11.18{col 54}{space 3}0.000{col 62}{space 4} .2003417{col 75}{space 3} .2856054
{txt}{space 4}world_regions_us {c |}{col 22}{res}{space 2} .1220519{col 34}{space 2} .0259076{col 45}{space 1}    4.71{col 54}{space 3}0.000{col 62}{space 4} .0712414{col 75}{space 3} .1728625
{txt}{space 2}world_regions_asia {c |}{col 22}{res}{space 2} .2860121{col 34}{space 2}  .026088{col 45}{space 1}   10.96{col 54}{space 3}0.000{col 62}{space 4} .2348477{col 75}{space 3} .3371765
{txt}world_regions_europe {c |}{col 22}{res}{space 2} -.038577{col 34}{space 2} .0283965{col 45}{space 1}   -1.36{col 54}{space 3}0.174{col 62}{space 4}-.0942687{col 75}{space 3} .0171147
{txt}{space 14}monday {c |}{col 22}{res}{space 2} .0934069{col 34}{space 2} .0744715{col 45}{space 1}    1.25{col 54}{space 3}0.210{col 62}{space 4}-.0526481{col 75}{space 3} .2394618
{txt}{space 13}tuesday {c |}{col 22}{res}{space 2} .0574671{col 34}{space 2} .0758447{col 45}{space 1}    0.76{col 54}{space 3}0.449{col 62}{space 4} -.091281{col 75}{space 3} .2062152
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} .5530169{col 34}{space 2} .1605346{col 45}{space 1}    3.44{col 54}{space 3}0.001{col 62}{space 4} .2381732{col 75}{space 3} .8678606
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         
.         *Model 2
.         reg world_regions_asia wave $controls_3 world_regions_russia world_regions_arab world_regions_us world_regions_europe monday tuesday , robust 

{txt}Linear regression                               Number of obs     = {res}     1,906
                                                {txt}F(16, 1889)       =  {res}    48.55
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.2756
                                                {txt}Root MSE          =    {res} .61077

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}  world_regions_asia{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.0352537{col 34}{space 2} .0282612{col 45}{space 1}   -1.25{col 54}{space 3}0.212{col 62}{space 4}-.0906801{col 75}{space 3} .0201728
{txt}{space 17}age {c |}{col 22}{res}{space 2}-.0023684{col 34}{space 2} .0011148{col 45}{space 1}   -2.12{col 54}{space 3}0.034{col 62}{space 4}-.0045548{col 75}{space 3}-.0001819
{txt}{space 16}male {c |}{col 22}{res}{space 2} .0898809{col 34}{space 2}  .031128{col 45}{space 1}    2.89{col 54}{space 3}0.004{col 62}{space 4}  .028832{col 75}{space 3} .1509298
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} .0119979{col 34}{space 2} .0217839{col 45}{space 1}    0.55{col 54}{space 3}0.582{col 62}{space 4}-.0307252{col 75}{space 3} .0547209
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .0852774{col 34}{space 2} .0441661{col 45}{space 1}    1.93{col 54}{space 3}0.054{col 62}{space 4} -.001342{col 75}{space 3} .1718968
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2}  .035275{col 34}{space 2}  .018716{col 45}{space 1}    1.88{col 54}{space 3}0.060{col 62}{space 4}-.0014312{col 75}{space 3} .0719812
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.0170686{col 34}{space 2} .0080522{col 45}{space 1}   -2.12{col 54}{space 3}0.034{col 62}{space 4}-.0328607{col 75}{space 3}-.0012765
{txt}football_consumption {c |}{col 22}{res}{space 2}-.0285698{col 34}{space 2} .0130068{col 45}{space 1}   -2.20{col 54}{space 3}0.028{col 62}{space 4}-.0540789{col 75}{space 3}-.0030606
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2} .0081269{col 34}{space 2} .0173718{col 45}{space 1}    0.47{col 54}{space 3}0.640{col 62}{space 4} -.025943{col 75}{space 3} .0421968
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .0606945{col 34}{space 2} .0391146{col 45}{space 1}    1.55{col 54}{space 3}0.121{col 62}{space 4}-.0160179{col 75}{space 3} .1374068
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .1798901{col 34}{space 2} .0194741{col 45}{space 1}    9.24{col 54}{space 3}0.000{col 62}{space 4}  .141697{col 75}{space 3} .2180832
{txt}{space 2}world_regions_arab {c |}{col 22}{res}{space 2} .2541058{col 34}{space 2} .0233671{col 45}{space 1}   10.87{col 54}{space 3}0.000{col 62}{space 4} .2082778{col 75}{space 3} .2999337
{txt}{space 4}world_regions_us {c |}{col 22}{res}{space 2} .1411985{col 34}{space 2} .0231457{col 45}{space 1}    6.10{col 54}{space 3}0.000{col 62}{space 4} .0958047{col 75}{space 3} .1865923
{txt}world_regions_europe {c |}{col 22}{res}{space 2}  .178939{col 34}{space 2} .0251472{col 45}{space 1}    7.12{col 54}{space 3}0.000{col 62}{space 4} .1296198{col 75}{space 3} .2282583
{txt}{space 14}monday {c |}{col 22}{res}{space 2}-.1268117{col 34}{space 2}  .068149{col 45}{space 1}   -1.86{col 54}{space 3}0.063{col 62}{space 4}-.2604669{col 75}{space 3} .0068435
{txt}{space 13}tuesday {c |}{col 22}{res}{space 2}-.0858439{col 34}{space 2} .0702921{col 45}{space 1}   -1.22{col 54}{space 3}0.222{col 62}{space 4}-.2237021{col 75}{space 3} .0520144
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 1.013036{col 34}{space 2} .1415933{col 45}{space 1}    7.15{col 54}{space 3}0.000{col 62}{space 4}   .73534{col 75}{space 3} 1.290732
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 
.         *Model 3
.         reg world_regions_europe wave $controls_3 world_regions_russia world_regions_arab world_regions_asia world_regions_us monday tuesday , robust 

{txt}Linear regression                               Number of obs     = {res}     1,906
                                                {txt}F(16, 1889)       =  {res}    31.30
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.2450
                                                {txt}Root MSE          =    {res} .60336

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}world_regions_europe{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2} -.004814{col 34}{space 2} .0279496{col 45}{space 1}   -0.17{col 54}{space 3}0.863{col 62}{space 4}-.0596293{col 75}{space 3} .0500013
{txt}{space 17}age {c |}{col 22}{res}{space 2} .0045202{col 34}{space 2} .0010936{col 45}{space 1}    4.13{col 54}{space 3}0.000{col 62}{space 4} .0023754{col 75}{space 3} .0066649
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.0253524{col 34}{space 2} .0302073{col 45}{space 1}   -0.84{col 54}{space 3}0.401{col 62}{space 4}-.0845955{col 75}{space 3} .0338907
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} .1408886{col 34}{space 2} .0212526{col 45}{space 1}    6.63{col 54}{space 3}0.000{col 62}{space 4} .0992075{col 75}{space 3} .1825698
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .0251644{col 34}{space 2} .0429442{col 45}{space 1}    0.59{col 54}{space 3}0.558{col 62}{space 4}-.0590588{col 75}{space 3} .1093875
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0909985{col 34}{space 2} .0189855{col 45}{space 1}    4.79{col 54}{space 3}0.000{col 62}{space 4} .0537637{col 75}{space 3} .1282333
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.0003826{col 34}{space 2} .0083716{col 45}{space 1}   -0.05{col 54}{space 3}0.964{col 62}{space 4}-.0168012{col 75}{space 3}  .016036
{txt}football_consumption {c |}{col 22}{res}{space 2} -.009854{col 34}{space 2} .0127999{col 45}{space 1}   -0.77{col 54}{space 3}0.441{col 62}{space 4}-.0349574{col 75}{space 3} .0152493
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2} .0913985{col 34}{space 2} .0174612{col 45}{space 1}    5.23{col 54}{space 3}0.000{col 62}{space 4} .0571532{col 75}{space 3} .1256438
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2}-.1157115{col 34}{space 2} .0367832{col 45}{space 1}   -3.15{col 54}{space 3}0.002{col 62}{space 4}-.1878513{col 75}{space 3}-.0435716
{txt}world_regions_russia {c |}{col 22}{res}{space 2}-.0684098{col 34}{space 2} .0195874{col 45}{space 1}   -3.49{col 54}{space 3}0.000{col 62}{space 4} -.106825{col 75}{space 3}-.0299946
{txt}{space 2}world_regions_arab {c |}{col 22}{res}{space 2}-.0334469{col 34}{space 2} .0246036{col 45}{space 1}   -1.36{col 54}{space 3}0.174{col 62}{space 4}   -.0817{col 75}{space 3} .0148062
{txt}{space 2}world_regions_asia {c |}{col 22}{res}{space 2} .1746235{col 34}{space 2} .0249511{col 45}{space 1}    7.00{col 54}{space 3}0.000{col 62}{space 4}  .125689{col 75}{space 3}  .223558
{txt}{space 4}world_regions_us {c |}{col 22}{res}{space 2} .2799519{col 34}{space 2} .0231946{col 45}{space 1}   12.07{col 54}{space 3}0.000{col 62}{space 4} .2344621{col 75}{space 3} .3254416
{txt}{space 14}monday {c |}{col 22}{res}{space 2} .0244598{col 34}{space 2} .0694133{col 45}{space 1}    0.35{col 54}{space 3}0.725{col 62}{space 4} -.111675{col 75}{space 3} .1605945
{txt}{space 13}tuesday {c |}{col 22}{res}{space 2}  .017273{col 34}{space 2} .0712494{col 45}{space 1}    0.24{col 54}{space 3}0.808{col 62}{space 4}-.1224627{col 75}{space 3} .1570088
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 1.124691{col 34}{space 2} .1450022{col 45}{space 1}    7.76{col 54}{space 3}0.000{col 62}{space 4} .8403092{col 75}{space 3} 1.409072
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 
.         *Model 4
.         reg world_regions_us wave $controls_3 world_regions_russia world_regions_arab world_regions_asia world_regions_europe monday tuesday , robust 

{txt}Linear regression                               Number of obs     = {res}     1,906
                                                {txt}F(16, 1889)       =  {res}    28.95
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.2048
                                                {txt}Root MSE          =    {res} .68879

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}    world_regions_us{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.0376352{col 34}{space 2} .0319029{col 45}{space 1}   -1.18{col 54}{space 3}0.238{col 62}{space 4}-.1002038{col 75}{space 3} .0249334
{txt}{space 17}age {c |}{col 22}{res}{space 2}-.0019014{col 34}{space 2} .0012853{col 45}{space 1}   -1.48{col 54}{space 3}0.139{col 62}{space 4}-.0044222{col 75}{space 3} .0006193
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.0442305{col 34}{space 2} .0341692{col 45}{space 1}   -1.29{col 54}{space 3}0.196{col 62}{space 4}-.1112438{col 75}{space 3} .0227828
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}-.0717694{col 34}{space 2} .0247306{col 45}{space 1}   -2.90{col 54}{space 3}0.004{col 62}{space 4}-.1202716{col 75}{space 3}-.0232671
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} -.165591{col 34}{space 2} .0506454{col 45}{space 1}   -3.27{col 54}{space 3}0.001{col 62}{space 4}-.2649178{col 75}{space 3}-.0662642
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2}-.0157081{col 34}{space 2} .0216322{col 45}{space 1}   -0.73{col 54}{space 3}0.468{col 62}{space 4}-.0581335{col 75}{space 3} .0267174
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2} .0201378{col 34}{space 2} .0098353{col 45}{space 1}    2.05{col 54}{space 3}0.041{col 62}{space 4} .0008485{col 75}{space 3} .0394271
{txt}football_consumption {c |}{col 22}{res}{space 2} .0466698{col 34}{space 2} .0144198{col 45}{space 1}    3.24{col 54}{space 3}0.001{col 62}{space 4} .0183894{col 75}{space 3} .0749503
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}-.0500166{col 34}{space 2} .0198898{col 45}{space 1}   -2.51{col 54}{space 3}0.012{col 62}{space 4}-.0890249{col 75}{space 3}-.0110083
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2}-.1137585{col 34}{space 2} .0469457{col 45}{space 1}   -2.42{col 54}{space 3}0.015{col 62}{space 4}-.2058294{col 75}{space 3}-.0216876
{txt}world_regions_russia {c |}{col 22}{res}{space 2}-.0838441{col 34}{space 2} .0239027{col 45}{space 1}   -3.51{col 54}{space 3}0.000{col 62}{space 4}-.1307226{col 75}{space 3}-.0369657
{txt}{space 2}world_regions_arab {c |}{col 22}{res}{space 2} .1379093{col 34}{space 2} .0288749{col 45}{space 1}    4.78{col 54}{space 3}0.000{col 62}{space 4} .0812793{col 75}{space 3} .1945393
{txt}{space 2}world_regions_asia {c |}{col 22}{res}{space 2} .1795762{col 34}{space 2} .0297972{col 45}{space 1}    6.03{col 54}{space 3}0.000{col 62}{space 4} .1211374{col 75}{space 3} .2380151
{txt}world_regions_europe {c |}{col 22}{res}{space 2} .3648418{col 34}{space 2} .0289578{col 45}{space 1}   12.60{col 54}{space 3}0.000{col 62}{space 4} .3080492{col 75}{space 3} .4216344
{txt}{space 14}monday {c |}{col 22}{res}{space 2}  .128432{col 34}{space 2} .0857967{col 45}{space 1}    1.50{col 54}{space 3}0.135{col 62}{space 4}-.0398342{col 75}{space 3} .2966981
{txt}{space 13}tuesday {c |}{col 22}{res}{space 2} .1229279{col 34}{space 2} .0872911{col 45}{space 1}    1.41{col 54}{space 3}0.159{col 62}{space 4}-.0482691{col 75}{space 3}  .294125
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}  1.06825{col 34}{space 2} .1649147{col 45}{space 1}    6.48{col 54}{space 3}0.000{col 62}{space 4} .7448161{col 75}{space 3} 1.391684
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 
.         
.         ****************************************************************************
.         *Table A.6.25. World Cup start and change of opinions about German media and boycott with controls for week days (Reference category: Wednesdays)
.         ****************************************************************************    
. 
.         *Control variables
.         #delimit ;
{txt}delimiter now ;
{com}.         global controls_4 = "
>                                                  age
>                                                  male
>                                                  education3 
>                                                  mig_backg 
>                                                  pol_interest 
>                                                  pol_left_right 
>                                                  football_consumption 
>                                                  football_reports
>                                                  born_gdr
>                                                  world_regions_russia
>                                                  "
>         ;
{txt}
{com}.         #delimit cr     
{txt}delimiter now cr
{com}.                                                         
.         *Dependent variables
.         #delimit ;
{txt}delimiter now ;
{com}.         tokenize                           "
>                                                    qat_state_2_speech
>                                                    qat_state_2_critic
>                                                    pol_media_opinion
>                                                    football_boycott_pol 
>                                                    ";
{txt}
{com}.         #delimit cr     
{txt}delimiter now cr
{com}. 
.         *Models 1-4
.         forval j=1/4  {c -(} 
{txt}  2{com}.         
.         reg ``j'' wave $controls_4 monday tuesday, robust
{txt}  3{com}.                 
.         {c )-}       

{txt}Linear regression                               Number of obs     = {res}     1,918
                                                {txt}F(13, 1904)       =  {res}    31.57
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1752
                                                {txt}Root MSE          =    {res} 1.0981

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}  qat_state_2_speech{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2} .1068001{col 34}{space 2} .0502492{col 45}{space 1}    2.13{col 54}{space 3}0.034{col 62}{space 4} .0082508{col 75}{space 3} .2053494
{txt}{space 17}age {c |}{col 22}{res}{space 2} -.006572{col 34}{space 2} .0020075{col 45}{space 1}   -3.27{col 54}{space 3}0.001{col 62}{space 4}-.0105091{col 75}{space 3}-.0026349
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.0677456{col 34}{space 2}   .05531{col 45}{space 1}   -1.22{col 54}{space 3}0.221{col 62}{space 4}-.1762201{col 75}{space 3} .0407289
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}-.1752999{col 34}{space 2} .0375988{col 45}{space 1}   -4.66{col 54}{space 3}0.000{col 62}{space 4}-.2490391{col 75}{space 3}-.1015606
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .1159415{col 34}{space 2} .0740349{col 45}{space 1}    1.57{col 54}{space 3}0.118{col 62}{space 4}-.0292565{col 75}{space 3} .2611395
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0401365{col 34}{space 2} .0343914{col 45}{space 1}    1.17{col 54}{space 3}0.243{col 62}{space 4}-.0273122{col 75}{space 3} .1075852
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2} .0891044{col 34}{space 2}  .015185{col 45}{space 1}    5.87{col 54}{space 3}0.000{col 62}{space 4} .0593234{col 75}{space 3} .1188853
{txt}football_consumption {c |}{col 22}{res}{space 2} .0568638{col 34}{space 2} .0241835{col 45}{space 1}    2.35{col 54}{space 3}0.019{col 62}{space 4} .0094348{col 75}{space 3} .1042928
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}-.1921272{col 34}{space 2} .0319992{col 45}{space 1}   -6.00{col 54}{space 3}0.000{col 62}{space 4}-.2548844{col 75}{space 3}  -.12937
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .1826757{col 34}{space 2} .0700587{col 45}{space 1}    2.61{col 54}{space 3}0.009{col 62}{space 4} .0452759{col 75}{space 3} .3200755
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .3982084{col 34}{space 2} .0327919{col 45}{space 1}   12.14{col 54}{space 3}0.000{col 62}{space 4} .3338966{col 75}{space 3} .4625202
{txt}{space 14}monday {c |}{col 22}{res}{space 2}-.5162979{col 34}{space 2} .1367324{col 45}{space 1}   -3.78{col 54}{space 3}0.000{col 62}{space 4}-.7844589{col 75}{space 3}-.2481369
{txt}{space 13}tuesday {c |}{col 22}{res}{space 2}-.4649731{col 34}{space 2} .1393077{col 45}{space 1}   -3.34{col 54}{space 3}0.001{col 62}{space 4}-.7381849{col 75}{space 3}-.1917614
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 2.351613{col 34}{space 2} .2431476{col 45}{space 1}    9.67{col 54}{space 3}0.000{col 62}{space 4}  1.87475{col 75}{space 3} 2.828477
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Linear regression                               Number of obs     = {res}     1,918
                                                {txt}F(13, 1904)       =  {res}    14.71
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1010
                                                {txt}Root MSE          =    {res} 1.1481

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}  qat_state_2_critic{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2} .1120859{col 34}{space 2} .0528226{col 45}{space 1}    2.12{col 54}{space 3}0.034{col 62}{space 4} .0084896{col 75}{space 3} .2156821
{txt}{space 17}age {c |}{col 22}{res}{space 2}-.0036109{col 34}{space 2} .0021203{col 45}{space 1}   -1.70{col 54}{space 3}0.089{col 62}{space 4}-.0077694{col 75}{space 3} .0005475
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.0552201{col 34}{space 2} .0566114{col 45}{space 1}   -0.98{col 54}{space 3}0.329{col 62}{space 4}-.1662471{col 75}{space 3} .0558068
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}-.0672936{col 34}{space 2}  .039197{col 45}{space 1}   -1.72{col 54}{space 3}0.086{col 62}{space 4}-.1441671{col 75}{space 3} .0095799
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .0666085{col 34}{space 2} .0772274{col 45}{space 1}    0.86{col 54}{space 3}0.389{col 62}{space 4}-.0848507{col 75}{space 3} .2180676
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0132245{col 34}{space 2}  .034936{col 45}{space 1}    0.38{col 54}{space 3}0.705{col 62}{space 4}-.0552922{col 75}{space 3} .0817413
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2} .0466429{col 34}{space 2} .0152827{col 45}{space 1}    3.05{col 54}{space 3}0.002{col 62}{space 4} .0166703{col 75}{space 3} .0766155
{txt}football_consumption {c |}{col 22}{res}{space 2} .0967332{col 34}{space 2} .0239617{col 45}{space 1}    4.04{col 54}{space 3}0.000{col 62}{space 4} .0497392{col 75}{space 3} .1437273
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}-.1980379{col 34}{space 2} .0337429{col 45}{space 1}   -5.87{col 54}{space 3}0.000{col 62}{space 4}-.2642149{col 75}{space 3} -.131861
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .2165366{col 34}{space 2} .0691924{col 45}{space 1}    3.13{col 54}{space 3}0.002{col 62}{space 4} .0808357{col 75}{space 3} .3522374
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .2936716{col 34}{space 2} .0331474{col 45}{space 1}    8.86{col 54}{space 3}0.000{col 62}{space 4} .2286625{col 75}{space 3} .3586806
{txt}{space 14}monday {c |}{col 22}{res}{space 2}-.0340018{col 34}{space 2} .1529559{col 45}{space 1}   -0.22{col 54}{space 3}0.824{col 62}{space 4}-.3339806{col 75}{space 3}  .265977
{txt}{space 13}tuesday {c |}{col 22}{res}{space 2}-.0437694{col 34}{space 2} .1547404{col 45}{space 1}   -0.28{col 54}{space 3}0.777{col 62}{space 4}-.3472479{col 75}{space 3} .2597091
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 2.113053{col 34}{space 2} .2624631{col 45}{space 1}    8.05{col 54}{space 3}0.000{col 62}{space 4} 1.598308{col 75}{space 3} 2.627799
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Linear regression                               Number of obs     = {res}     1,921
                                                {txt}F(13, 1907)       =  {res}    15.89
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0957
                                                {txt}Root MSE          =    {res} 1.0709

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}   pol_media_opinion{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2} .1007243{col 34}{space 2} .0491088{col 45}{space 1}    2.05{col 54}{space 3}0.040{col 62}{space 4} .0044117{col 75}{space 3} .1970369
{txt}{space 17}age {c |}{col 22}{res}{space 2}  -.00242{col 34}{space 2} .0019915{col 45}{space 1}   -1.22{col 54}{space 3}0.224{col 62}{space 4}-.0063257{col 75}{space 3} .0014857
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.0061028{col 34}{space 2} .0531459{col 45}{space 1}   -0.11{col 54}{space 3}0.909{col 62}{space 4}-.1103331{col 75}{space 3} .0981274
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}-.0574504{col 34}{space 2} .0367495{col 45}{space 1}   -1.56{col 54}{space 3}0.118{col 62}{space 4}-.1295239{col 75}{space 3} .0146231
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .1261244{col 34}{space 2} .0710824{col 45}{space 1}    1.77{col 54}{space 3}0.076{col 62}{space 4}-.0132829{col 75}{space 3} .2655318
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0161491{col 34}{space 2} .0324082{col 45}{space 1}    0.50{col 54}{space 3}0.618{col 62}{space 4}-.0474101{col 75}{space 3} .0797083
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2} .0861367{col 34}{space 2}  .013496{col 45}{space 1}    6.38{col 54}{space 3}0.000{col 62}{space 4} .0596682{col 75}{space 3} .1126052
{txt}football_consumption {c |}{col 22}{res}{space 2} .0168193{col 34}{space 2} .0224997{col 45}{space 1}    0.75{col 54}{space 3}0.455{col 62}{space 4}-.0273073{col 75}{space 3}  .060946
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2} .0156232{col 34}{space 2} .0301672{col 45}{space 1}    0.52{col 54}{space 3}0.605{col 62}{space 4} -.043541{col 75}{space 3} .0747874
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .1210252{col 34}{space 2} .0650973{col 45}{space 1}    1.86{col 54}{space 3}0.063{col 62}{space 4}-.0066441{col 75}{space 3} .2486946
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .2970281{col 34}{space 2} .0308669{col 45}{space 1}    9.62{col 54}{space 3}0.000{col 62}{space 4} .2364918{col 75}{space 3} .3575645
{txt}{space 14}monday {c |}{col 22}{res}{space 2}-.1913389{col 34}{space 2} .1323418{col 45}{space 1}   -1.45{col 54}{space 3}0.148{col 62}{space 4}-.4508888{col 75}{space 3}  .068211
{txt}{space 13}tuesday {c |}{col 22}{res}{space 2}-.0932485{col 34}{space 2} .1347797{col 45}{space 1}   -0.69{col 54}{space 3}0.489{col 62}{space 4}-.3575795{col 75}{space 3} .1710826
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 2.364608{col 34}{space 2} .2267769{col 45}{space 1}   10.43{col 54}{space 3}0.000{col 62}{space 4} 1.919852{col 75}{space 3} 2.809365
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Linear regression                               Number of obs     = {res}     1,928
                                                {txt}F(13, 1914)       =  {res}    17.66
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1017
                                                {txt}Root MSE          =    {res} 1.1551

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}football_boycott_pol{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.1328715{col 34}{space 2} .0528224{col 45}{space 1}   -2.52{col 54}{space 3}0.012{col 62}{space 4}-.2364671{col 75}{space 3} -.029276
{txt}{space 17}age {c |}{col 22}{res}{space 2} .0058104{col 34}{space 2} .0021671{col 45}{space 1}    2.68{col 54}{space 3}0.007{col 62}{space 4} .0015604{col 75}{space 3} .0100605
{txt}{space 16}male {c |}{col 22}{res}{space 2}  .003509{col 34}{space 2} .0559392{col 45}{space 1}    0.06{col 54}{space 3}0.950{col 62}{space 4}-.1061991{col 75}{space 3} .1132172
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} .0463207{col 34}{space 2} .0397242{col 45}{space 1}    1.17{col 54}{space 3}0.244{col 62}{space 4}-.0315866{col 75}{space 3} .1242279
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2}-.2082328{col 34}{space 2} .0843781{col 45}{space 1}   -2.47{col 54}{space 3}0.014{col 62}{space 4}-.3737155{col 75}{space 3}-.0427501
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0286735{col 34}{space 2} .0357277{col 45}{space 1}    0.80{col 54}{space 3}0.422{col 62}{space 4}-.0413958{col 75}{space 3} .0987428
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.0578231{col 34}{space 2} .0156624{col 45}{space 1}   -3.69{col 54}{space 3}0.000{col 62}{space 4}-.0885402{col 75}{space 3}-.0271059
{txt}football_consumption {c |}{col 22}{res}{space 2}-.1296525{col 34}{space 2} .0243481{col 45}{space 1}   -5.32{col 54}{space 3}0.000{col 62}{space 4} -.177404{col 75}{space 3} -.081901
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2} .2423746{col 34}{space 2} .0326153{col 45}{space 1}    7.43{col 54}{space 3}0.000{col 62}{space 4} .1784093{col 75}{space 3}   .30634
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2}-.1661341{col 34}{space 2} .0720296{col 45}{space 1}   -2.31{col 54}{space 3}0.021{col 62}{space 4}-.3073988{col 75}{space 3}-.0248693
{txt}world_regions_russia {c |}{col 22}{res}{space 2}-.2142665{col 34}{space 2} .0345767{col 45}{space 1}   -6.20{col 54}{space 3}0.000{col 62}{space 4}-.2820786{col 75}{space 3}-.1464545
{txt}{space 14}monday {c |}{col 22}{res}{space 2} .0133385{col 34}{space 2} .1576704{col 45}{space 1}    0.08{col 54}{space 3}0.933{col 62}{space 4}-.2958853{col 75}{space 3} .3225623
{txt}{space 13}tuesday {c |}{col 22}{res}{space 2} .0333633{col 34}{space 2} .1606782{col 45}{space 1}    0.21{col 54}{space 3}0.836{col 62}{space 4}-.2817595{col 75}{space 3} .3484861
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 3.720711{col 34}{space 2} .2676132{col 45}{space 1}   13.90{col 54}{space 3}0.000{col 62}{space 4} 3.195866{col 75}{space 3} 4.245555
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         
.         
.         ****************************************************************************
.         *Table A.6.26. Clustered standard errors: World Cup start and change of political opinions with controls for week days (Reference category: Wednesdays)
.         ****************************************************************************    
. 
.         *Control variables
.         #delimit ;
{txt}delimiter now ;
{com}.         global controls_5 = "
>                                                  age
>                                                  male
>                                                  education3 
>                                                  mig_backg 
>                                                  pol_interest 
>                                                  pol_left_right 
>                                                  football_consumption 
>                                                  football_reports
>                                                  born_gdr
>                                                  world_regions_russia
>                                                  "
>         ;
{txt}
{com}.         #delimit cr     
{txt}delimiter now cr
{com}.         
.         *Dependent variables
.         #delimit ;
{txt}delimiter now ;
{com}.         tokenize                           "    
>                                                    pol_woke_female
>                                                    pol_xeno_mosque
>                                                    pol_woke_homo
>                                                    pol_xeno_security
>                                                    ";
{txt}
{com}.         #delimit cr                                                        
{txt}delimiter now cr
{com}. 
.         *Models 1-4
.         forval j=1/4  {c -(} 
{txt}  2{com}.         
.         reg ``j'' wave $controls_5 monday tuesday, robust
{txt}  3{com}.         
.         {c )-}               

{txt}Linear regression                               Number of obs     = {res}     1,923
                                                {txt}F(13, 1909)       =  {res}    12.52
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0845
                                                {txt}Root MSE          =    {res} 1.0214

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}     pol_woke_female{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2} .0036039{col 34}{space 2} .0471703{col 45}{space 1}    0.08{col 54}{space 3}0.939{col 62}{space 4}-.0889069{col 75}{space 3} .0961148
{txt}{space 17}age {c |}{col 22}{res}{space 2} .0047456{col 34}{space 2} .0018107{col 45}{space 1}    2.62{col 54}{space 3}0.009{col 62}{space 4} .0011945{col 75}{space 3} .0082968
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.3943895{col 34}{space 2} .0506794{col 45}{space 1}   -7.78{col 54}{space 3}0.000{col 62}{space 4}-.4937822{col 75}{space 3}-.2949967
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}-.0626518{col 34}{space 2} .0342301{col 45}{space 1}   -1.83{col 54}{space 3}0.067{col 62}{space 4}-.1297841{col 75}{space 3} .0044805
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .0548186{col 34}{space 2} .0718661{col 45}{space 1}    0.76{col 54}{space 3}0.446{col 62}{space 4}-.0861257{col 75}{space 3} .1957629
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2}-.0201229{col 34}{space 2} .0309811{col 45}{space 1}   -0.65{col 54}{space 3}0.516{col 62}{space 4}-.0808834{col 75}{space 3} .0406375
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.1027838{col 34}{space 2}  .013944{col 45}{space 1}   -7.37{col 54}{space 3}0.000{col 62}{space 4}-.1301309{col 75}{space 3}-.0754367
{txt}football_consumption {c |}{col 22}{res}{space 2}-.0033454{col 34}{space 2} .0206813{col 45}{space 1}   -0.16{col 54}{space 3}0.872{col 62}{space 4}-.0439057{col 75}{space 3} .0372149
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2} .0160732{col 34}{space 2} .0288606{col 45}{space 1}    0.56{col 54}{space 3}0.578{col 62}{space 4}-.0405284{col 75}{space 3} .0726749
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} -.089548{col 34}{space 2}  .064296{col 45}{space 1}   -1.39{col 54}{space 3}0.164{col 62}{space 4}-.2156457{col 75}{space 3} .0365497
{txt}world_regions_russia {c |}{col 22}{res}{space 2}-.0292529{col 34}{space 2} .0301878{col 45}{space 1}   -0.97{col 54}{space 3}0.333{col 62}{space 4}-.0884575{col 75}{space 3} .0299517
{txt}{space 14}monday {c |}{col 22}{res}{space 2}  .040925{col 34}{space 2} .1461252{col 45}{space 1}    0.28{col 54}{space 3}0.779{col 62}{space 4}-.2456567{col 75}{space 3} .3275068
{txt}{space 13}tuesday {c |}{col 22}{res}{space 2}   .03576{col 34}{space 2} .1482044{col 45}{space 1}    0.24{col 54}{space 3}0.809{col 62}{space 4}-.2548995{col 75}{space 3} .3264196
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 3.949186{col 34}{space 2} .2315335{col 45}{space 1}   17.06{col 54}{space 3}0.000{col 62}{space 4} 3.495101{col 75}{space 3} 4.403271
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Linear regression                               Number of obs     = {res}     1,912
                                                {txt}F(13, 1898)       =  {res}    20.47
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1251
                                                {txt}Root MSE          =    {res} 1.2011

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}     pol_xeno_mosque{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.0160524{col 34}{space 2} .0552584{col 45}{space 1}   -0.29{col 54}{space 3}0.771{col 62}{space 4}-.1244259{col 75}{space 3} .0923212
{txt}{space 17}age {c |}{col 22}{res}{space 2}-.0072664{col 34}{space 2} .0022061{col 45}{space 1}   -3.29{col 54}{space 3}0.001{col 62}{space 4}-.0115931{col 75}{space 3}-.0029397
{txt}{space 16}male {c |}{col 22}{res}{space 2}  .044045{col 34}{space 2}  .059139{col 45}{space 1}    0.74{col 54}{space 3}0.457{col 62}{space 4}-.0719393{col 75}{space 3} .1600293
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}  .244771{col 34}{space 2} .0415271{col 45}{space 1}    5.89{col 54}{space 3}0.000{col 62}{space 4} .1633275{col 75}{space 3} .3262145
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .0347045{col 34}{space 2} .0866728{col 45}{space 1}    0.40{col 54}{space 3}0.689{col 62}{space 4}-.1352795{col 75}{space 3} .2046885
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2}-.0009482{col 34}{space 2} .0355755{col 45}{space 1}   -0.03{col 54}{space 3}0.979{col 62}{space 4}-.0707193{col 75}{space 3}  .068823
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.1687912{col 34}{space 2} .0166702{col 45}{space 1}  -10.13{col 54}{space 3}0.000{col 62}{space 4} -.201485{col 75}{space 3}-.1360975
{txt}football_consumption {c |}{col 22}{res}{space 2} .0749077{col 34}{space 2} .0247677{col 45}{space 1}    3.02{col 54}{space 3}0.003{col 62}{space 4} .0263329{col 75}{space 3} .1234824
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}-.0334617{col 34}{space 2} .0337145{col 45}{space 1}   -0.99{col 54}{space 3}0.321{col 62}{space 4} -.099583{col 75}{space 3} .0326596
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2}-.1278262{col 34}{space 2} .0731696{col 45}{space 1}   -1.75{col 54}{space 3}0.081{col 62}{space 4}-.2713275{col 75}{space 3}  .015675
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .1223093{col 34}{space 2} .0353131{col 45}{space 1}    3.46{col 54}{space 3}0.001{col 62}{space 4} .0530529{col 75}{space 3} .1915658
{txt}{space 14}monday {c |}{col 22}{res}{space 2} .3108081{col 34}{space 2} .1460069{col 45}{space 1}    2.13{col 54}{space 3}0.033{col 62}{space 4} .0244573{col 75}{space 3}  .597159
{txt}{space 13}tuesday {c |}{col 22}{res}{space 2} .1363787{col 34}{space 2} .1491852{col 45}{space 1}    0.91{col 54}{space 3}0.361{col 62}{space 4}-.1562056{col 75}{space 3} .4289629
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 2.663153{col 34}{space 2} .2620785{col 45}{space 1}   10.16{col 54}{space 3}0.000{col 62}{space 4} 2.149161{col 75}{space 3} 3.177145
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Linear regression                               Number of obs     = {res}     1,924
                                                {txt}F(13, 1910)       =  {res}    29.37
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1536
                                                {txt}Root MSE          =    {res} 1.2387

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}       pol_woke_homo{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2} .1382682{col 34}{space 2} .0570413{col 45}{space 1}    2.42{col 54}{space 3}0.015{col 62}{space 4} .0263984{col 75}{space 3}  .250138
{txt}{space 17}age {c |}{col 22}{res}{space 2}-.0015236{col 34}{space 2}  .002264{col 45}{space 1}   -0.67{col 54}{space 3}0.501{col 62}{space 4}-.0059638{col 75}{space 3} .0029165
{txt}{space 16}male {c |}{col 22}{res}{space 2}  .270393{col 34}{space 2} .0613405{col 45}{space 1}    4.41{col 54}{space 3}0.000{col 62}{space 4} .1500915{col 75}{space 3} .3906944
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}-.1467689{col 34}{space 2} .0426098{col 45}{space 1}   -3.44{col 54}{space 3}0.001{col 62}{space 4}-.2303355{col 75}{space 3}-.0632022
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .2513182{col 34}{space 2} .0835277{col 45}{space 1}    3.01{col 54}{space 3}0.003{col 62}{space 4}  .087503{col 75}{space 3} .4151334
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0961029{col 34}{space 2} .0373806{col 45}{space 1}    2.57{col 54}{space 3}0.010{col 62}{space 4} .0227918{col 75}{space 3}  .169414
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2} .1754442{col 34}{space 2} .0160207{col 45}{space 1}   10.95{col 54}{space 3}0.000{col 62}{space 4} .1440244{col 75}{space 3} .2068641
{txt}football_consumption {c |}{col 22}{res}{space 2} .0647716{col 34}{space 2} .0253519{col 45}{space 1}    2.55{col 54}{space 3}0.011{col 62}{space 4} .0150513{col 75}{space 3} .1144919
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}-.1149965{col 34}{space 2} .0349737{col 45}{space 1}   -3.29{col 54}{space 3}0.001{col 62}{space 4}-.1835871{col 75}{space 3}-.0464058
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .0885998{col 34}{space 2} .0747922{col 45}{space 1}    1.18{col 54}{space 3}0.236{col 62}{space 4} -.058083{col 75}{space 3} .2352827
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .2565409{col 34}{space 2} .0355129{col 45}{space 1}    7.22{col 54}{space 3}0.000{col 62}{space 4} .1868928{col 75}{space 3}  .326189
{txt}{space 14}monday {c |}{col 22}{res}{space 2}-.1835093{col 34}{space 2} .1725031{col 45}{space 1}   -1.06{col 54}{space 3}0.288{col 62}{space 4}-.5218235{col 75}{space 3} .1548048
{txt}{space 13}tuesday {c |}{col 22}{res}{space 2}-.1967672{col 34}{space 2} .1749825{col 45}{space 1}   -1.12{col 54}{space 3}0.261{col 62}{space 4} -.539944{col 75}{space 3} .1464097
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 1.517512{col 34}{space 2} .2808868{col 45}{space 1}    5.40{col 54}{space 3}0.000{col 62}{space 4} .9666351{col 75}{space 3} 2.068389
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Linear regression                               Number of obs     = {res}     1,915
                                                {txt}F(13, 1901)       =  {res}    24.07
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1430
                                                {txt}Root MSE          =    {res} 1.1816

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}   pol_xeno_security{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}  .116524{col 34}{space 2} .0545338{col 45}{space 1}    2.14{col 54}{space 3}0.033{col 62}{space 4} .0095717{col 75}{space 3} .2234763
{txt}{space 17}age {c |}{col 22}{res}{space 2} .0024326{col 34}{space 2} .0022224{col 45}{space 1}    1.09{col 54}{space 3}0.274{col 62}{space 4} -.001926{col 75}{space 3} .0067911
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.0651357{col 34}{space 2} .0588946{col 45}{space 1}   -1.11{col 54}{space 3}0.269{col 62}{space 4}-.1806404{col 75}{space 3} .0503691
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}-.2715185{col 34}{space 2} .0405777{col 45}{space 1}   -6.69{col 54}{space 3}0.000{col 62}{space 4}   -.3511{col 75}{space 3} -.191937
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2}-.0785516{col 34}{space 2} .0766797{col 45}{space 1}   -1.02{col 54}{space 3}0.306{col 62}{space 4}-.2289368{col 75}{space 3} .0718336
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0652136{col 34}{space 2} .0365891{col 45}{space 1}    1.78{col 54}{space 3}0.075{col 62}{space 4}-.0065453{col 75}{space 3} .1369726
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2} .1927147{col 34}{space 2} .0163107{col 45}{space 1}   11.82{col 54}{space 3}0.000{col 62}{space 4}  .160726{col 75}{space 3} .2247033
{txt}football_consumption {c |}{col 22}{res}{space 2} .0113675{col 34}{space 2} .0250911{col 45}{space 1}    0.45{col 54}{space 3}0.651{col 62}{space 4}-.0378415{col 75}{space 3} .0605765
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}-.0346459{col 34}{space 2} .0345766{col 45}{space 1}   -1.00{col 54}{space 3}0.316{col 62}{space 4} -.102458{col 75}{space 3} .0331662
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .1116127{col 34}{space 2} .0718522{col 45}{space 1}    1.55{col 54}{space 3}0.121{col 62}{space 4}-.0293047{col 75}{space 3} .2525301
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .1181674{col 34}{space 2} .0339691{col 45}{space 1}    3.48{col 54}{space 3}0.001{col 62}{space 4} .0515468{col 75}{space 3}  .184788
{txt}{space 14}monday {c |}{col 22}{res}{space 2}-.2192717{col 34}{space 2} .1410173{col 45}{space 1}   -1.55{col 54}{space 3}0.120{col 62}{space 4}-.4958366{col 75}{space 3} .0572932
{txt}{space 13}tuesday {c |}{col 22}{res}{space 2}-.1373062{col 34}{space 2} .1444046{col 45}{space 1}   -0.95{col 54}{space 3}0.342{col 62}{space 4}-.4205144{col 75}{space 3} .1459021
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 2.371001{col 34}{space 2} .2541821{col 45}{space 1}    9.33{col 54}{space 3}0.000{col 62}{space 4} 1.872496{col 75}{space 3} 2.869507
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         
.         
.         ****************************************************************************
.         *Table A.6.27. Watching the start of the World Cup with controls for daytime (Reference category: Hours 18:00-24:00)
.         ****************************************************************************    
.         
.         *Control variables
.         #delimit ;
{txt}delimiter now ;
{com}.         global controls_1 = "
>                                                  age
>                                                  male 
>                                                  education3 
>                                                  mig_backg 
>                                                  pol_interest 
>                                                  pol_left_right 
>                                                  football_consumption   
>                                                  football_reports
>                                                  born_gdr
>                                                  world_regions_russia
>                                                  "
>         ;
{txt}
{com}.         #delimit cr
{txt}delimiter now cr
{com}. 
.         
.         *Model 1 
.         reg football_opening_cat $controls_1 hour_first hour_second hour_third if wave==0 , robust 

{txt}Linear regression                               Number of obs     = {res}       963
                                                {txt}F(13, 949)        =  {res}    24.47
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.2333
                                                {txt}Root MSE          =    {res} .65649

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}football_opening_cat{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 17}age {c |}{col 22}{res}{space 2}-.0067247{col 34}{space 2} .0015191{col 45}{space 1}   -4.43{col 54}{space 3}0.000{col 62}{space 4}-.0097059{col 75}{space 3}-.0037436
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.0625452{col 34}{space 2} .0445621{col 45}{space 1}   -1.40{col 54}{space 3}0.161{col 62}{space 4} -.149997{col 75}{space 3} .0249065
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}-.0809811{col 34}{space 2} .0297475{col 45}{space 1}   -2.72{col 54}{space 3}0.007{col 62}{space 4}-.1393596{col 75}{space 3}-.0226026
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .2116128{col 34}{space 2}  .070001{col 45}{space 1}    3.02{col 54}{space 3}0.003{col 62}{space 4} .0742382{col 75}{space 3} .3489875
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .1000811{col 34}{space 2} .0261081{col 45}{space 1}    3.83{col 54}{space 3}0.000{col 62}{space 4} .0488449{col 75}{space 3} .1513173
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2} .0169781{col 34}{space 2} .0115545{col 45}{space 1}    1.47{col 54}{space 3}0.142{col 62}{space 4}-.0056973{col 75}{space 3} .0396535
{txt}football_consumption {c |}{col 22}{res}{space 2} .2529859{col 34}{space 2} .0188042{col 45}{space 1}   13.45{col 54}{space 3}0.000{col 62}{space 4} .2160832{col 75}{space 3} .2898886
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}-.0371045{col 34}{space 2} .0263037{col 45}{space 1}   -1.41{col 54}{space 3}0.159{col 62}{space 4}-.0887248{col 75}{space 3} .0145157
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .1150629{col 34}{space 2}  .056682{col 45}{space 1}    2.03{col 54}{space 3}0.043{col 62}{space 4} .0038265{col 75}{space 3} .2262994
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .0337742{col 34}{space 2} .0269116{col 45}{space 1}    1.26{col 54}{space 3}0.210{col 62}{space 4}-.0190389{col 75}{space 3} .0865872
{txt}{space 10}hour_first {c |}{col 22}{res}{space 2}-.0205038{col 34}{space 2} .1598626{col 45}{space 1}   -0.13{col 54}{space 3}0.898{col 62}{space 4}-.3342288{col 75}{space 3} .2932213
{txt}{space 9}hour_second {c |}{col 22}{res}{space 2} .0313848{col 34}{space 2} .0741513{col 45}{space 1}    0.42{col 54}{space 3}0.672{col 62}{space 4}-.1141347{col 75}{space 3} .1769044
{txt}{space 10}hour_third {c |}{col 22}{res}{space 2} .0510245{col 34}{space 2} .0520388{col 45}{space 1}    0.98{col 54}{space 3}0.327{col 62}{space 4}   -.0511{col 75}{space 3}  .153149
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} .9346152{col 34}{space 2} .1468852{col 45}{space 1}    6.36{col 54}{space 3}0.000{col 62}{space 4} .6463579{col 75}{space 3} 1.222873
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 
.         *Model 2
.         reg football_opening_cat $controls_1 hour_first hour_second hour_third if wave==1 , robust 

{txt}Linear regression                               Number of obs     = {res}       963
                                                {txt}F(13, 949)        =  {res}    17.79
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.2123
                                                {txt}Root MSE          =    {res} .57421

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}football_opening_cat{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 17}age {c |}{col 22}{res}{space 2}-.0012559{col 34}{space 2} .0013641{col 45}{space 1}   -0.92{col 54}{space 3}0.357{col 62}{space 4}-.0039329{col 75}{space 3}  .001421
{txt}{space 16}male {c |}{col 22}{res}{space 2} .0267447{col 34}{space 2} .0385984{col 45}{space 1}    0.69{col 54}{space 3}0.489{col 62}{space 4}-.0490035{col 75}{space 3} .1024929
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} .0307708{col 34}{space 2}  .024707{col 45}{space 1}    1.25{col 54}{space 3}0.213{col 62}{space 4}-.0177158{col 75}{space 3} .0792575
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .0931316{col 34}{space 2} .0565835{col 45}{space 1}    1.65{col 54}{space 3}0.100{col 62}{space 4}-.0179117{col 75}{space 3} .2041749
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0819758{col 34}{space 2} .0241568{col 45}{space 1}    3.39{col 54}{space 3}0.001{col 62}{space 4} .0345689{col 75}{space 3} .1293828
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.0168872{col 34}{space 2} .0115892{col 45}{space 1}   -1.46{col 54}{space 3}0.145{col 62}{space 4}-.0396305{col 75}{space 3} .0058562
{txt}football_consumption {c |}{col 22}{res}{space 2} .1968051{col 34}{space 2} .0177307{col 45}{space 1}   11.10{col 54}{space 3}0.000{col 62}{space 4} .1620092{col 75}{space 3}  .231601
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}-.0374464{col 34}{space 2} .0211738{col 45}{space 1}   -1.77{col 54}{space 3}0.077{col 62}{space 4}-.0789994{col 75}{space 3} .0041066
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .0960294{col 34}{space 2} .0531891{col 45}{space 1}    1.81{col 54}{space 3}0.071{col 62}{space 4}-.0083524{col 75}{space 3} .2004112
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .0738441{col 34}{space 2} .0236475{col 45}{space 1}    3.12{col 54}{space 3}0.002{col 62}{space 4} .0274367{col 75}{space 3} .1202515
{txt}{space 10}hour_first {c |}{col 22}{res}{space 2} .7624649{col 34}{space 2} .4477784{col 45}{space 1}    1.70{col 54}{space 3}0.089{col 62}{space 4}-.1162854{col 75}{space 3} 1.641215
{txt}{space 9}hour_second {c |}{col 22}{res}{space 2} .0757323{col 34}{space 2} .0589924{col 45}{space 1}    1.28{col 54}{space 3}0.200{col 62}{space 4}-.0400384{col 75}{space 3}  .191503
{txt}{space 10}hour_third {c |}{col 22}{res}{space 2} .0327361{col 34}{space 2} .0448736{col 45}{space 1}    0.73{col 54}{space 3}0.466{col 62}{space 4}-.0553268{col 75}{space 3} .1207991
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} .6192708{col 34}{space 2} .1260794{col 45}{space 1}    4.91{col 54}{space 3}0.000{col 62}{space 4} .3718442{col 75}{space 3} .8666974
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         
.         
.         ****************************************************************************
.         *Table A.6.28. World Cup start and change of opinions about Qatar with controls for daytime (Reference category: Hours 18:00-24:00)
.         ****************************************************************************    
.         
.         *Control variables
.         #delimit ;
{txt}delimiter now ;
{com}.         global controls_2 = "
>                                                  age
>                                                  male 
>                                                  education3 
>                                                  mig_backg 
>                                                  pol_interest 
>                                                  pol_left_right 
>                                                  football_consumption 
>                                                  football_reports
>                                                  born_gdr
>                                                  world_regions_russia
>                                                  "
>         ;
{txt}
{com}.         #delimit cr
{txt}delimiter now cr
{com}.                 
.         *Dependent variables
.         #delimit ;
{txt}delimiter now ;
{com}.         tokenize                           "
>                                                    qatar_statements_1_influence 
>                                                    qatar_statements_1_aggro
>                                                    qatar_statements_1_tech
>                                                    qatar_statements_1_orga 
>                                                    qatar_statements_1_travel
>                                                    qat_state_2_worker
>                                                    qat_state_2_women
>                                                    qat_state_2_lgbt
>                                                    ";
{txt}
{com}.         #delimit cr     
{txt}delimiter now cr
{com}.         
.         *Models 1-8
.         forval j=1/8  {c -(} 
{txt}  2{com}.         
.         reg ``j'' wave $controls_2 hour_first hour_second hour_third , robust 
{txt}  3{com}.                                 
.         {c )-}       

{txt}Linear regression                               Number of obs     = {res}     1,923
                                                {txt}F(14, 1908)       =  {res}     6.77
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0475
                                                {txt}Root MSE          =    {res}  1.021

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}qatar_statements_1~e{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.0392986{col 34}{space 2} .0468839{col 45}{space 1}   -0.84{col 54}{space 3}0.402{col 62}{space 4}-.1312477{col 75}{space 3} .0526505
{txt}{space 17}age {c |}{col 22}{res}{space 2} .0022965{col 34}{space 2} .0017594{col 45}{space 1}    1.31{col 54}{space 3}0.192{col 62}{space 4}-.0011539{col 75}{space 3}  .005747
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.0092862{col 34}{space 2} .0498634{col 45}{space 1}   -0.19{col 54}{space 3}0.852{col 62}{space 4}-.1070786{col 75}{space 3} .0885062
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} .0453355{col 34}{space 2} .0318391{col 45}{space 1}    1.42{col 54}{space 3}0.155{col 62}{space 4}-.0171076{col 75}{space 3} .1077787
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .1032557{col 34}{space 2} .0726831{col 45}{space 1}    1.42{col 54}{space 3}0.156{col 62}{space 4}-.0392911{col 75}{space 3} .2458024
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .1137193{col 34}{space 2} .0318831{col 45}{space 1}    3.57{col 54}{space 3}0.000{col 62}{space 4} .0511899{col 75}{space 3} .1762487
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.0080326{col 34}{space 2} .0132808{col 45}{space 1}   -0.60{col 54}{space 3}0.545{col 62}{space 4} -.034079{col 75}{space 3} .0180138
{txt}football_consumption {c |}{col 22}{res}{space 2} .0363997{col 34}{space 2} .0217947{col 45}{space 1}    1.67{col 54}{space 3}0.095{col 62}{space 4}-.0063442{col 75}{space 3} .0791435
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2} .1019355{col 34}{space 2} .0292632{col 45}{space 1}    3.48{col 54}{space 3}0.001{col 62}{space 4} .0445443{col 75}{space 3} .1593267
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .1083784{col 34}{space 2} .0616859{col 45}{space 1}    1.76{col 54}{space 3}0.079{col 62}{space 4}-.0126004{col 75}{space 3} .2293573
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .1196167{col 34}{space 2} .0285463{col 45}{space 1}    4.19{col 54}{space 3}0.000{col 62}{space 4} .0636315{col 75}{space 3} .1756018
{txt}{space 10}hour_first {c |}{col 22}{res}{space 2}-.6476739{col 34}{space 2} .3291373{col 45}{space 1}   -1.97{col 54}{space 3}0.049{col 62}{space 4}-1.293181{col 75}{space 3}-.0021672
{txt}{space 9}hour_second {c |}{col 22}{res}{space 2}-.0115559{col 34}{space 2} .0757643{col 45}{space 1}   -0.15{col 54}{space 3}0.879{col 62}{space 4}-.1601454{col 75}{space 3} .1370336
{txt}{space 10}hour_third {c |}{col 22}{res}{space 2} .0225751{col 34}{space 2} .0569587{col 45}{space 1}    0.40{col 54}{space 3}0.692{col 62}{space 4}-.0891327{col 75}{space 3} .1342829
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 2.033458{col 34}{space 2} .1704288{col 45}{space 1}   11.93{col 54}{space 3}0.000{col 62}{space 4} 1.699211{col 75}{space 3} 2.367704
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Linear regression                               Number of obs     = {res}     1,923
                                                {txt}F(14, 1908)       =  {res}     5.58
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0386
                                                {txt}Root MSE          =    {res} 1.0518

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}qatar_statements_1~o{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.0654185{col 34}{space 2} .0485323{col 45}{space 1}   -1.35{col 54}{space 3}0.178{col 62}{space 4}-.1606005{col 75}{space 3} .0297635
{txt}{space 17}age {c |}{col 22}{res}{space 2}-.0018732{col 34}{space 2} .0018386{col 45}{space 1}   -1.02{col 54}{space 3}0.308{col 62}{space 4}-.0054791{col 75}{space 3} .0017328
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.1621733{col 34}{space 2} .0515571{col 45}{space 1}   -3.15{col 54}{space 3}0.002{col 62}{space 4}-.2632875{col 75}{space 3}-.0610591
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}-.0601696{col 34}{space 2} .0328937{col 45}{space 1}   -1.83{col 54}{space 3}0.068{col 62}{space 4} -.124681{col 75}{space 3} .0043418
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2}-.0030315{col 34}{space 2} .0725568{col 45}{space 1}   -0.04{col 54}{space 3}0.967{col 62}{space 4}-.1453304{col 75}{space 3} .1392675
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2}-.0048538{col 34}{space 2} .0320706{col 45}{space 1}   -0.15{col 54}{space 3}0.880{col 62}{space 4}-.0677508{col 75}{space 3} .0580432
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.0146962{col 34}{space 2} .0144126{col 45}{space 1}   -1.02{col 54}{space 3}0.308{col 62}{space 4}-.0429622{col 75}{space 3} .0135699
{txt}football_consumption {c |}{col 22}{res}{space 2}-.0594792{col 34}{space 2} .0222594{col 45}{space 1}   -2.67{col 54}{space 3}0.008{col 62}{space 4}-.1031345{col 75}{space 3}-.0158238
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2} .1320139{col 34}{space 2} .0299944{col 45}{space 1}    4.40{col 54}{space 3}0.000{col 62}{space 4} .0731885{col 75}{space 3} .1908392
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2}-.1145734{col 34}{space 2} .0662613{col 45}{space 1}   -1.73{col 54}{space 3}0.084{col 62}{space 4}-.2445256{col 75}{space 3} .0153787
{txt}world_regions_russia {c |}{col 22}{res}{space 2}-.1159016{col 34}{space 2} .0315596{col 45}{space 1}   -3.67{col 54}{space 3}0.000{col 62}{space 4}-.1777965{col 75}{space 3}-.0540067
{txt}{space 10}hour_first {c |}{col 22}{res}{space 2} .6919539{col 34}{space 2} .2022496{col 45}{space 1}    3.42{col 54}{space 3}0.001{col 62}{space 4} .2953003{col 75}{space 3} 1.088608
{txt}{space 9}hour_second {c |}{col 22}{res}{space 2}-.0258959{col 34}{space 2} .0770118{col 45}{space 1}   -0.34{col 54}{space 3}0.737{col 62}{space 4}-.1769321{col 75}{space 3} .1251402
{txt}{space 10}hour_third {c |}{col 22}{res}{space 2}-.0634378{col 34}{space 2} .0574915{col 45}{space 1}   -1.10{col 54}{space 3}0.270{col 62}{space 4}-.1761905{col 75}{space 3}  .049315
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 3.828677{col 34}{space 2} .1790945{col 45}{space 1}   21.38{col 54}{space 3}0.000{col 62}{space 4} 3.477436{col 75}{space 3} 4.179919
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Linear regression                               Number of obs     = {res}     1,922
                                                {txt}F(14, 1907)       =  {res}     7.17
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0533
                                                {txt}Root MSE          =    {res} .97607

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}qatar_statements_1~h{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.0729892{col 34}{space 2}  .044932{col 45}{space 1}   -1.62{col 54}{space 3}0.104{col 62}{space 4}-.1611103{col 75}{space 3} .0151319
{txt}{space 17}age {c |}{col 22}{res}{space 2}-.0007953{col 34}{space 2} .0016775{col 45}{space 1}   -0.47{col 54}{space 3}0.635{col 62}{space 4}-.0040852{col 75}{space 3} .0024946
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.2153284{col 34}{space 2} .0473405{col 45}{space 1}   -4.55{col 54}{space 3}0.000{col 62}{space 4} -.308173{col 75}{space 3}-.1224838
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} -.018844{col 34}{space 2} .0309501{col 45}{space 1}   -0.61{col 54}{space 3}0.543{col 62}{space 4}-.0795436{col 75}{space 3} .0418556
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .0341873{col 34}{space 2} .0705406{col 45}{space 1}    0.48{col 54}{space 3}0.628{col 62}{space 4}-.1041574{col 75}{space 3} .1725321
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0866165{col 34}{space 2} .0294931{col 45}{space 1}    2.94{col 54}{space 3}0.003{col 62}{space 4} .0287745{col 75}{space 3} .1444586
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.0103173{col 34}{space 2} .0136531{col 45}{space 1}   -0.76{col 54}{space 3}0.450{col 62}{space 4}-.0370939{col 75}{space 3} .0164592
{txt}football_consumption {c |}{col 22}{res}{space 2} .0562159{col 34}{space 2} .0205076{col 45}{space 1}    2.74{col 54}{space 3}0.006{col 62}{space 4} .0159962{col 75}{space 3} .0964356
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}-.0118627{col 34}{space 2}  .027871{col 45}{space 1}   -0.43{col 54}{space 3}0.670{col 62}{space 4}-.0665236{col 75}{space 3} .0427983
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .2109902{col 34}{space 2} .0606796{col 45}{space 1}    3.48{col 54}{space 3}0.001{col 62}{space 4} .0919848{col 75}{space 3} .3299957
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .1790116{col 34}{space 2} .0284306{col 45}{space 1}    6.30{col 54}{space 3}0.000{col 62}{space 4} .1232532{col 75}{space 3}   .23477
{txt}{space 10}hour_first {c |}{col 22}{res}{space 2}-.4082233{col 34}{space 2} .3624898{col 45}{space 1}   -1.13{col 54}{space 3}0.260{col 62}{space 4}-1.119141{col 75}{space 3} .3026949
{txt}{space 9}hour_second {c |}{col 22}{res}{space 2}  .022918{col 34}{space 2} .0715047{col 45}{space 1}    0.32{col 54}{space 3}0.749{col 62}{space 4}-.1173177{col 75}{space 3} .1631538
{txt}{space 10}hour_third {c |}{col 22}{res}{space 2} .0430758{col 34}{space 2}  .054615{col 45}{space 1}    0.79{col 54}{space 3}0.430{col 62}{space 4}-.0640356{col 75}{space 3} .1501872
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 2.174896{col 34}{space 2} .1671025{col 45}{space 1}   13.02{col 54}{space 3}0.000{col 62}{space 4} 1.847173{col 75}{space 3} 2.502619
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Linear regression                               Number of obs     = {res}     1,926
                                                {txt}F(14, 1911)       =  {res}    15.25
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0986
                                                {txt}Root MSE          =    {res} 1.0099

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}qatar_statements_1~a{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2} .0046017{col 34}{space 2} .0464444{col 45}{space 1}    0.10{col 54}{space 3}0.921{col 62}{space 4}-.0864854{col 75}{space 3} .0956888
{txt}{space 17}age {c |}{col 22}{res}{space 2} .0072214{col 34}{space 2} .0017135{col 45}{space 1}    4.21{col 54}{space 3}0.000{col 62}{space 4} .0038608{col 75}{space 3}  .010582
{txt}{space 16}male {c |}{col 22}{res}{space 2} .1845161{col 34}{space 2} .0501167{col 45}{space 1}    3.68{col 54}{space 3}0.000{col 62}{space 4} .0862268{col 75}{space 3} .2828053
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} .1173437{col 34}{space 2} .0318981{col 45}{space 1}    3.68{col 54}{space 3}0.000{col 62}{space 4} .0547851{col 75}{space 3} .1799024
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .0656724{col 34}{space 2} .0707367{col 45}{space 1}    0.93{col 54}{space 3}0.353{col 62}{space 4}-.0730568{col 75}{space 3} .2044016
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .1828486{col 34}{space 2} .0313185{col 45}{space 1}    5.84{col 54}{space 3}0.000{col 62}{space 4} .1214265{col 75}{space 3} .2442707
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2} .0136171{col 34}{space 2} .0137014{col 45}{space 1}    0.99{col 54}{space 3}0.320{col 62}{space 4}-.0132541{col 75}{space 3} .0404884
{txt}football_consumption {c |}{col 22}{res}{space 2}-.0010341{col 34}{space 2} .0211647{col 45}{space 1}   -0.05{col 54}{space 3}0.961{col 62}{space 4}-.0425425{col 75}{space 3} .0404743
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2} .0122305{col 34}{space 2} .0287838{col 45}{space 1}    0.42{col 54}{space 3}0.671{col 62}{space 4}-.0442205{col 75}{space 3} .0686815
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .1412703{col 34}{space 2} .0601729{col 45}{space 1}    2.35{col 54}{space 3}0.019{col 62}{space 4} .0232588{col 75}{space 3} .2592818
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .2003754{col 34}{space 2} .0279105{col 45}{space 1}    7.18{col 54}{space 3}0.000{col 62}{space 4} .1456371{col 75}{space 3} .2551138
{txt}{space 10}hour_first {c |}{col 22}{res}{space 2}  .072284{col 34}{space 2} .4159357{col 45}{space 1}    0.17{col 54}{space 3}0.862{col 62}{space 4}-.7434516{col 75}{space 3} .8880196
{txt}{space 9}hour_second {c |}{col 22}{res}{space 2} .1151864{col 34}{space 2} .0757833{col 45}{space 1}    1.52{col 54}{space 3}0.129{col 62}{space 4}-.0334402{col 75}{space 3}  .263813
{txt}{space 10}hour_third {c |}{col 22}{res}{space 2} .0889383{col 34}{space 2} .0565113{col 45}{space 1}    1.57{col 54}{space 3}0.116{col 62}{space 4}-.0218921{col 75}{space 3} .1997687
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}  1.14137{col 34}{space 2} .1700157{col 45}{space 1}    6.71{col 54}{space 3}0.000{col 62}{space 4}  .807934{col 75}{space 3} 1.474806
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Linear regression                               Number of obs     = {res}     1,923
                                                {txt}F(14, 1908)       =  {res}    11.09
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0822
                                                {txt}Root MSE          =    {res} 1.0899

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}qatar_statements_1~l{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.0556038{col 34}{space 2} .0502105{col 45}{space 1}   -1.11{col 54}{space 3}0.268{col 62}{space 4}-.1540771{col 75}{space 3} .0428695
{txt}{space 17}age {c |}{col 22}{res}{space 2} .0007786{col 34}{space 2} .0018559{col 45}{space 1}    0.42{col 54}{space 3}0.675{col 62}{space 4}-.0028613{col 75}{space 3} .0044185
{txt}{space 16}male {c |}{col 22}{res}{space 2} .1072002{col 34}{space 2} .0529138{col 45}{space 1}    2.03{col 54}{space 3}0.043{col 62}{space 4} .0034253{col 75}{space 3} .2109752
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}-.0554142{col 34}{space 2} .0337081{col 45}{space 1}   -1.64{col 54}{space 3}0.100{col 62}{space 4}-.1215228{col 75}{space 3} .0106944
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .1203473{col 34}{space 2} .0789209{col 45}{space 1}    1.52{col 54}{space 3}0.127{col 62}{space 4} -.034433{col 75}{space 3} .2751277
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0635296{col 34}{space 2}   .03303{col 45}{space 1}    1.92{col 54}{space 3}0.055{col 62}{space 4}-.0012492{col 75}{space 3} .1283084
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.0014031{col 34}{space 2} .0149747{col 45}{space 1}   -0.09{col 54}{space 3}0.925{col 62}{space 4}-.0307716{col 75}{space 3} .0279654
{txt}football_consumption {c |}{col 22}{res}{space 2} .1141029{col 34}{space 2} .0230984{col 45}{space 1}    4.94{col 54}{space 3}0.000{col 62}{space 4} .0688021{col 75}{space 3} .1594037
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}-.1183234{col 34}{space 2} .0304374{col 45}{space 1}   -3.89{col 54}{space 3}0.000{col 62}{space 4}-.1780175{col 75}{space 3}-.0586292
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .1994478{col 34}{space 2} .0675023{col 45}{space 1}    2.95{col 54}{space 3}0.003{col 62}{space 4} .0670618{col 75}{space 3} .3318338
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .2564975{col 34}{space 2} .0324243{col 45}{space 1}    7.91{col 54}{space 3}0.000{col 62}{space 4} .1929066{col 75}{space 3} .3200883
{txt}{space 10}hour_first {c |}{col 22}{res}{space 2} .1375336{col 34}{space 2}  .386499{col 45}{space 1}    0.36{col 54}{space 3}0.722{col 62}{space 4}-.6204712{col 75}{space 3} .8955385
{txt}{space 9}hour_second {c |}{col 22}{res}{space 2} .0131038{col 34}{space 2} .0799796{col 45}{space 1}    0.16{col 54}{space 3}0.870{col 62}{space 4}-.1437529{col 75}{space 3} .1699605
{txt}{space 10}hour_third {c |}{col 22}{res}{space 2} .0099705{col 34}{space 2} .0600003{col 45}{space 1}    0.17{col 54}{space 3}0.868{col 62}{space 4}-.1077026{col 75}{space 3} .1276435
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 1.720483{col 34}{space 2} .1825447{col 45}{space 1}    9.42{col 54}{space 3}0.000{col 62}{space 4} 1.362475{col 75}{space 3} 2.078491
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Linear regression                               Number of obs     = {res}     1,918
                                                {txt}F(14, 1903)       =  {res}    30.96
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1621
                                                {txt}Root MSE          =    {res} .93811

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}  qat_state_2_worker{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.0110941{col 34}{space 2} .0431985{col 45}{space 1}   -0.26{col 54}{space 3}0.797{col 62}{space 4}-.0958154{col 75}{space 3} .0736272
{txt}{space 17}age {c |}{col 22}{res}{space 2} .0107415{col 34}{space 2} .0016369{col 45}{space 1}    6.56{col 54}{space 3}0.000{col 62}{space 4} .0075313{col 75}{space 3} .0139518
{txt}{space 16}male {c |}{col 22}{res}{space 2} -.010731{col 34}{space 2} .0458493{col 45}{space 1}   -0.23{col 54}{space 3}0.815{col 62}{space 4}-.1006512{col 75}{space 3} .0791891
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} .0785239{col 34}{space 2} .0299104{col 45}{space 1}    2.63{col 54}{space 3}0.009{col 62}{space 4} .0198633{col 75}{space 3} .1371844
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2}-.0094952{col 34}{space 2} .0667653{col 45}{space 1}   -0.14{col 54}{space 3}0.887{col 62}{space 4} -.140436{col 75}{space 3} .1214457
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2}  .098962{col 34}{space 2} .0292764{col 45}{space 1}    3.38{col 54}{space 3}0.001{col 62}{space 4} .0415448{col 75}{space 3} .1563793
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.0702008{col 34}{space 2} .0123905{col 45}{space 1}   -5.67{col 54}{space 3}0.000{col 62}{space 4}-.0945011{col 75}{space 3}-.0459004
{txt}football_consumption {c |}{col 22}{res}{space 2}-.0560822{col 34}{space 2} .0198611{col 45}{space 1}   -2.82{col 54}{space 3}0.005{col 62}{space 4}-.0950341{col 75}{space 3}-.0171304
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2} .2257304{col 34}{space 2} .0270079{col 45}{space 1}    8.36{col 54}{space 3}0.000{col 62}{space 4} .1727622{col 75}{space 3} .2786986
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2}-.1684138{col 34}{space 2} .0602064{col 45}{space 1}   -2.80{col 54}{space 3}0.005{col 62}{space 4}-.2864912{col 75}{space 3}-.0503364
{txt}world_regions_russia {c |}{col 22}{res}{space 2} -.224655{col 34}{space 2} .0276344{col 45}{space 1}   -8.13{col 54}{space 3}0.000{col 62}{space 4} -.278852{col 75}{space 3}-.1704581
{txt}{space 10}hour_first {c |}{col 22}{res}{space 2} .4137591{col 34}{space 2} .1012647{col 45}{space 1}    4.09{col 54}{space 3}0.000{col 62}{space 4} .2151576{col 75}{space 3} .6123607
{txt}{space 9}hour_second {c |}{col 22}{res}{space 2} .0141587{col 34}{space 2} .0712919{col 45}{space 1}    0.20{col 54}{space 3}0.843{col 62}{space 4}-.1256598{col 75}{space 3} .1539773
{txt}{space 10}hour_third {c |}{col 22}{res}{space 2} .0233688{col 34}{space 2} .0527392{col 45}{space 1}    0.44{col 54}{space 3}0.658{col 62}{space 4}-.0800639{col 75}{space 3} .1268014
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 3.573736{col 34}{space 2} .1656589{col 45}{space 1}   21.57{col 54}{space 3}0.000{col 62}{space 4} 3.248844{col 75}{space 3} 3.898628
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Linear regression                               Number of obs     = {res}     1,920
                                                {txt}F(14, 1905)       =  {res}    18.47
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1197
                                                {txt}Root MSE          =    {res} .94265

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}   qat_state_2_women{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2} -.111193{col 34}{space 2} .0434634{col 45}{space 1}   -2.56{col 54}{space 3}0.011{col 62}{space 4}-.1964338{col 75}{space 3}-.0259522
{txt}{space 17}age {c |}{col 22}{res}{space 2}  .010625{col 34}{space 2}  .001667{col 45}{space 1}    6.37{col 54}{space 3}0.000{col 62}{space 4} .0073556{col 75}{space 3} .0138943
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.1225938{col 34}{space 2} .0457865{col 45}{space 1}   -2.68{col 54}{space 3}0.007{col 62}{space 4}-.2123908{col 75}{space 3}-.0327967
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} .0202624{col 34}{space 2} .0307222{col 45}{space 1}    0.66{col 54}{space 3}0.510{col 62}{space 4}-.0399903{col 75}{space 3} .0805151
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2}-.0090868{col 34}{space 2} .0651458{col 45}{space 1}   -0.14{col 54}{space 3}0.889{col 62}{space 4}-.1368514{col 75}{space 3} .1186778
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0080053{col 34}{space 2} .0297646{col 45}{space 1}    0.27{col 54}{space 3}0.788{col 62}{space 4}-.0503693{col 75}{space 3} .0663799
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.0390451{col 34}{space 2} .0132299{col 45}{space 1}   -2.95{col 54}{space 3}0.003{col 62}{space 4}-.0649918{col 75}{space 3}-.0130985
{txt}football_consumption {c |}{col 22}{res}{space 2}-.0799454{col 34}{space 2} .0197243{col 45}{space 1}   -4.05{col 54}{space 3}0.000{col 62}{space 4}-.1186289{col 75}{space 3}-.0412619
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2} .1772917{col 34}{space 2} .0271195{col 45}{space 1}    6.54{col 54}{space 3}0.000{col 62}{space 4} .1241047{col 75}{space 3} .2304787
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2}-.1206419{col 34}{space 2} .0616482{col 45}{space 1}   -1.96{col 54}{space 3}0.051{col 62}{space 4}-.2415469{col 75}{space 3} .0002631
{txt}world_regions_russia {c |}{col 22}{res}{space 2}-.2175889{col 34}{space 2} .0280769{col 45}{space 1}   -7.75{col 54}{space 3}0.000{col 62}{space 4}-.2726537{col 75}{space 3}-.1625242
{txt}{space 10}hour_first {c |}{col 22}{res}{space 2} .0136308{col 34}{space 2} .1573671{col 45}{space 1}    0.09{col 54}{space 3}0.931{col 62}{space 4}-.2949991{col 75}{space 3} .3222607
{txt}{space 9}hour_second {c |}{col 22}{res}{space 2}-.0310362{col 34}{space 2} .0685141{col 45}{space 1}   -0.45{col 54}{space 3}0.651{col 62}{space 4}-.1654067{col 75}{space 3} .1033343
{txt}{space 10}hour_third {c |}{col 22}{res}{space 2}-.0273464{col 34}{space 2} .0533258{col 45}{space 1}   -0.51{col 54}{space 3}0.608{col 62}{space 4}-.1319295{col 75}{space 3} .0772368
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 4.062758{col 34}{space 2} .1661681{col 45}{space 1}   24.45{col 54}{space 3}0.000{col 62}{space 4} 3.736868{col 75}{space 3} 4.388649
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Linear regression                               Number of obs     = {res}     1,918
                                                {txt}F(14, 1903)       =  {res}    22.14
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1343
                                                {txt}Root MSE          =    {res} .90397

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}    qat_state_2_lgbt{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.0503515{col 34}{space 2} .0419206{col 45}{space 1}   -1.20{col 54}{space 3}0.230{col 62}{space 4}-.1325667{col 75}{space 3} .0318637
{txt}{space 17}age {c |}{col 22}{res}{space 2} .0122308{col 34}{space 2} .0015944{col 45}{space 1}    7.67{col 54}{space 3}0.000{col 62}{space 4} .0091039{col 75}{space 3} .0153577
{txt}{space 16}male {c |}{col 22}{res}{space 2} -.119655{col 34}{space 2} .0449681{col 45}{space 1}   -2.66{col 54}{space 3}0.008{col 62}{space 4} -.207847{col 75}{space 3}-.0314631
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} .0738511{col 34}{space 2} .0311158{col 45}{space 1}    2.37{col 54}{space 3}0.018{col 62}{space 4} .0128265{col 75}{space 3} .1348757
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .0173719{col 34}{space 2} .0630426{col 45}{space 1}    0.28{col 54}{space 3}0.783{col 62}{space 4} -.106268{col 75}{space 3} .1410119
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0262069{col 34}{space 2} .0284291{col 45}{space 1}    0.92{col 54}{space 3}0.357{col 62}{space 4}-.0295485{col 75}{space 3} .0819624
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.0301453{col 34}{space 2} .0124606{col 45}{space 1}   -2.42{col 54}{space 3}0.016{col 62}{space 4}-.0545831{col 75}{space 3}-.0057074
{txt}football_consumption {c |}{col 22}{res}{space 2}-.0546617{col 34}{space 2} .0183769{col 45}{space 1}   -2.97{col 54}{space 3}0.003{col 62}{space 4}-.0907027{col 75}{space 3}-.0186207
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2} .2126623{col 34}{space 2}   .02672{col 45}{space 1}    7.96{col 54}{space 3}0.000{col 62}{space 4} .1602587{col 75}{space 3} .2650659
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2}-.1683077{col 34}{space 2} .0591344{col 45}{space 1}   -2.85{col 54}{space 3}0.004{col 62}{space 4}-.2842828{col 75}{space 3}-.0523327
{txt}world_regions_russia {c |}{col 22}{res}{space 2}-.1915165{col 34}{space 2} .0268694{col 45}{space 1}   -7.13{col 54}{space 3}0.000{col 62}{space 4}-.2442131{col 75}{space 3}  -.13882
{txt}{space 10}hour_first {c |}{col 22}{res}{space 2}  .293457{col 34}{space 2} .1310694{col 45}{space 1}    2.24{col 54}{space 3}0.025{col 62}{space 4} .0364022{col 75}{space 3} .5505118
{txt}{space 9}hour_second {c |}{col 22}{res}{space 2} .0172375{col 34}{space 2} .0669093{col 45}{space 1}    0.26{col 54}{space 3}0.797{col 62}{space 4}-.1139858{col 75}{space 3} .1484607
{txt}{space 10}hour_third {c |}{col 22}{res}{space 2} .0320517{col 34}{space 2}  .052296{col 45}{space 1}    0.61{col 54}{space 3}0.540{col 62}{space 4}-.0705118{col 75}{space 3} .1346153
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 3.787814{col 34}{space 2} .1666028{col 45}{space 1}   22.74{col 54}{space 3}0.000{col 62}{space 4} 3.461071{col 75}{space 3} 4.114557
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 
.         
.         ****************************************************************************
.         *Table A.6.29. World Cup start and change of opinions about world regions and countries with controls for daytime (Reference category: Hours 18:00-24:00)
.         ****************************************************************************    
. 
.         *Control variables
.         #delimit ;
{txt}delimiter now ;
{com}.         global controls_3 = "
>                                                  age
>                                                  male
>                                                  education3 
>                                                  mig_backg 
>                                                  pol_interest 
>                                                  pol_left_right 
>                                                  football_consumption 
>                                                  football_reports
>                                                  born_gdr
>                                                  "
>         ;
{txt}
{com}.         #delimit cr     
{txt}delimiter now cr
{com}.                         
.         *Model 1
.         reg world_regions_arab wave $controls_3 world_regions_russia world_regions_us world_regions_asia world_regions_europe hour_first hour_second hour_third , robust

{txt}Linear regression                               Number of obs     = {res}     1,906
                                                {txt}F(17, 1888)       =  {res}    38.27
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.2610
                                                {txt}Root MSE          =    {res} .64836

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}  world_regions_arab{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2} .0848957{col 34}{space 2}  .029958{col 45}{space 1}    2.83{col 54}{space 3}0.005{col 62}{space 4} .0261415{col 75}{space 3} .1436499
{txt}{space 17}age {c |}{col 22}{res}{space 2} .0001902{col 34}{space 2}  .001162{col 45}{space 1}    0.16{col 54}{space 3}0.870{col 62}{space 4}-.0020887{col 75}{space 3} .0024691
{txt}{space 16}male {c |}{col 22}{res}{space 2} -.016584{col 34}{space 2}  .031835{col 45}{space 1}   -0.52{col 54}{space 3}0.602{col 62}{space 4}-.0790196{col 75}{space 3} .0458515
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} .0848717{col 34}{space 2} .0209412{col 45}{space 1}    4.05{col 54}{space 3}0.000{col 62}{space 4} .0438014{col 75}{space 3} .1259419
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2}-.0641475{col 34}{space 2} .0477228{col 45}{space 1}   -1.34{col 54}{space 3}0.179{col 62}{space 4}-.1577425{col 75}{space 3} .0294476
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2}-.0291944{col 34}{space 2} .0203046{col 45}{space 1}   -1.44{col 54}{space 3}0.151{col 62}{space 4}-.0690163{col 75}{space 3} .0106275
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.0380391{col 34}{space 2} .0093391{col 45}{space 1}   -4.07{col 54}{space 3}0.000{col 62}{space 4}-.0563552{col 75}{space 3}-.0197229
{txt}football_consumption {c |}{col 22}{res}{space 2} .0604551{col 34}{space 2} .0136063{col 45}{space 1}    4.44{col 54}{space 3}0.000{col 62}{space 4} .0337701{col 75}{space 3}   .08714
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}-.0577587{col 34}{space 2} .0185017{col 45}{space 1}   -3.12{col 54}{space 3}0.002{col 62}{space 4}-.0940446{col 75}{space 3}-.0214728
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .0459618{col 34}{space 2} .0426395{col 45}{space 1}    1.08{col 54}{space 3}0.281{col 62}{space 4}-.0376638{col 75}{space 3} .1295873
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .2439425{col 34}{space 2} .0217643{col 45}{space 1}   11.21{col 54}{space 3}0.000{col 62}{space 4} .2012578{col 75}{space 3} .2866271
{txt}{space 4}world_regions_us {c |}{col 22}{res}{space 2} .1227973{col 34}{space 2} .0258765{col 45}{space 1}    4.75{col 54}{space 3}0.000{col 62}{space 4} .0720478{col 75}{space 3} .1735469
{txt}{space 2}world_regions_asia {c |}{col 22}{res}{space 2} .2852722{col 34}{space 2} .0260585{col 45}{space 1}   10.95{col 54}{space 3}0.000{col 62}{space 4} .2341657{col 75}{space 3} .3363787
{txt}world_regions_europe {c |}{col 22}{res}{space 2}-.0389024{col 34}{space 2} .0283616{col 45}{space 1}   -1.37{col 54}{space 3}0.170{col 62}{space 4}-.0945258{col 75}{space 3}  .016721
{txt}{space 10}hour_first {c |}{col 22}{res}{space 2}-.0197892{col 34}{space 2} .3056686{col 45}{space 1}   -0.06{col 54}{space 3}0.948{col 62}{space 4}-.6192731{col 75}{space 3} .5796946
{txt}{space 9}hour_second {c |}{col 22}{res}{space 2}-.0396763{col 34}{space 2} .0489988{col 45}{space 1}   -0.81{col 54}{space 3}0.418{col 62}{space 4}-.1357737{col 75}{space 3} .0564211
{txt}{space 10}hour_third {c |}{col 22}{res}{space 2}-.0079489{col 34}{space 2} .0362836{col 45}{space 1}   -0.22{col 54}{space 3}0.827{col 62}{space 4} -.079109{col 75}{space 3} .0632112
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} .6764596{col 34}{space 2} .1296812{col 45}{space 1}    5.22{col 54}{space 3}0.000{col 62}{space 4}  .422126{col 75}{space 3} .9307932
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         
.         *Model 2
.         reg world_regions_asia wave $controls_3 world_regions_russia world_regions_arab world_regions_us world_regions_europe hour_first hour_second hour_third , robust 

{txt}Linear regression                               Number of obs     = {res}     1,906
                                                {txt}F(17, 1888)       =  {res}    45.43
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.2748
                                                {txt}Root MSE          =    {res} .61126

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}  world_regions_asia{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.0358104{col 34}{space 2} .0281307{col 45}{space 1}   -1.27{col 54}{space 3}0.203{col 62}{space 4}-.0909809{col 75}{space 3} .0193601
{txt}{space 17}age {c |}{col 22}{res}{space 2}-.0019508{col 34}{space 2} .0010474{col 45}{space 1}   -1.86{col 54}{space 3}0.063{col 62}{space 4} -.004005{col 75}{space 3} .0001033
{txt}{space 16}male {c |}{col 22}{res}{space 2} .0861708{col 34}{space 2} .0307629{col 45}{space 1}    2.80{col 54}{space 3}0.005{col 62}{space 4} .0258379{col 75}{space 3} .1465037
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} .0193357{col 34}{space 2}   .01995{col 45}{space 1}    0.97{col 54}{space 3}0.333{col 62}{space 4}-.0197907{col 75}{space 3} .0584621
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .0847032{col 34}{space 2} .0443458{col 45}{space 1}    1.91{col 54}{space 3}0.056{col 62}{space 4}-.0022688{col 75}{space 3} .1716751
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0353147{col 34}{space 2} .0187571{col 45}{space 1}    1.88{col 54}{space 3}0.060{col 62}{space 4}-.0014721{col 75}{space 3} .0721014
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.0166869{col 34}{space 2} .0080311{col 45}{space 1}   -2.08{col 54}{space 3}0.038{col 62}{space 4}-.0324377{col 75}{space 3}-.0009362
{txt}football_consumption {c |}{col 22}{res}{space 2}-.0284663{col 34}{space 2} .0130096{col 45}{space 1}   -2.19{col 54}{space 3}0.029{col 62}{space 4}-.0539811{col 75}{space 3}-.0029516
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2} .0100752{col 34}{space 2} .0173176{col 45}{space 1}    0.58{col 54}{space 3}0.561{col 62}{space 4}-.0238883{col 75}{space 3} .0440388
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .0661503{col 34}{space 2} .0391701{col 45}{space 1}    1.69{col 54}{space 3}0.091{col 62}{space 4} -.010671{col 75}{space 3} .1429716
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .1795046{col 34}{space 2} .0195258{col 45}{space 1}    9.19{col 54}{space 3}0.000{col 62}{space 4} .1412102{col 75}{space 3} .2177989
{txt}{space 2}world_regions_arab {c |}{col 22}{res}{space 2} .2535589{col 34}{space 2} .0233352{col 45}{space 1}   10.87{col 54}{space 3}0.000{col 62}{space 4} .2077933{col 75}{space 3} .2993244
{txt}{space 4}world_regions_us {c |}{col 22}{res}{space 2} .1404584{col 34}{space 2} .0231139{col 45}{space 1}    6.08{col 54}{space 3}0.000{col 62}{space 4} .0951269{col 75}{space 3} .1857899
{txt}world_regions_europe {c |}{col 22}{res}{space 2} .1794588{col 34}{space 2} .0251777{col 45}{space 1}    7.13{col 54}{space 3}0.000{col 62}{space 4} .1300797{col 75}{space 3}  .228838
{txt}{space 10}hour_first {c |}{col 22}{res}{space 2}-.0102147{col 34}{space 2} .1971532{col 45}{space 1}   -0.05{col 54}{space 3}0.959{col 62}{space 4}-.3968758{col 75}{space 3} .3764463
{txt}{space 9}hour_second {c |}{col 22}{res}{space 2} .0424887{col 34}{space 2} .0460581{col 45}{space 1}    0.92{col 54}{space 3}0.356{col 62}{space 4}-.0478414{col 75}{space 3} .1328188
{txt}{space 10}hour_third {c |}{col 22}{res}{space 2}-.0063006{col 34}{space 2} .0347529{col 45}{space 1}   -0.18{col 54}{space 3}0.856{col 62}{space 4}-.0744587{col 75}{space 3} .0618575
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} .8634538{col 34}{space 2} .1201062{col 45}{space 1}    7.19{col 54}{space 3}0.000{col 62}{space 4}  .627899{col 75}{space 3} 1.099009
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                         
.         *Model 3
.         reg world_regions_europe wave $controls_3 world_regions_russia world_regions_arab world_regions_asia world_regions_us hour_first hour_second hour_third , robust 

{txt}Linear regression                               Number of obs     = {res}     1,906
                                                {txt}F(17, 1888)       =  {res}    29.83
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.2461
                                                {txt}Root MSE          =    {res} .60308

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}world_regions_europe{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.0021163{col 34}{space 2} .0278188{col 45}{space 1}   -0.08{col 54}{space 3}0.939{col 62}{space 4}-.0566753{col 75}{space 3} .0524426
{txt}{space 17}age {c |}{col 22}{res}{space 2} .0046479{col 34}{space 2} .0010328{col 45}{space 1}    4.50{col 54}{space 3}0.000{col 62}{space 4} .0026223{col 75}{space 3} .0066735
{txt}{space 16}male {c |}{col 22}{res}{space 2} -.023949{col 34}{space 2} .0296744{col 45}{space 1}   -0.81{col 54}{space 3}0.420{col 62}{space 4}-.0821471{col 75}{space 3} .0342491
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} .1417441{col 34}{space 2} .0194001{col 45}{space 1}    7.31{col 54}{space 3}0.000{col 62}{space 4} .1036962{col 75}{space 3}  .179792
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .0245196{col 34}{space 2}  .042984{col 45}{space 1}    0.57{col 54}{space 3}0.568{col 62}{space 4}-.0597816{col 75}{space 3} .1088208
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0912821{col 34}{space 2} .0189747{col 45}{space 1}    4.81{col 54}{space 3}0.000{col 62}{space 4} .0540685{col 75}{space 3} .1284958
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.0001888{col 34}{space 2} .0083542{col 45}{space 1}   -0.02{col 54}{space 3}0.982{col 62}{space 4}-.0165733{col 75}{space 3} .0161958
{txt}football_consumption {c |}{col 22}{res}{space 2}-.0099328{col 34}{space 2} .0127795{col 45}{space 1}   -0.78{col 54}{space 3}0.437{col 62}{space 4}-.0349963{col 75}{space 3} .0151307
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2} .0915414{col 34}{space 2} .0173639{col 45}{space 1}    5.27{col 54}{space 3}0.000{col 62}{space 4} .0574868{col 75}{space 3} .1255959
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2}-.1176074{col 34}{space 2} .0364774{col 45}{space 1}   -3.22{col 54}{space 3}0.001{col 62}{space 4}-.1891475{col 75}{space 3}-.0460672
{txt}world_regions_russia {c |}{col 22}{res}{space 2}-.0674577{col 34}{space 2} .0195802{col 45}{space 1}   -3.45{col 54}{space 3}0.001{col 62}{space 4}-.1058588{col 75}{space 3}-.0290566
{txt}{space 2}world_regions_arab {c |}{col 22}{res}{space 2}-.0336589{col 34}{space 2}  .024524{col 45}{space 1}   -1.37{col 54}{space 3}0.170{col 62}{space 4}-.0817559{col 75}{space 3} .0144381
{txt}{space 2}world_regions_asia {c |}{col 22}{res}{space 2} .1746904{col 34}{space 2}  .024897{col 45}{space 1}    7.02{col 54}{space 3}0.000{col 62}{space 4} .1258619{col 75}{space 3}  .223519
{txt}{space 4}world_regions_us {c |}{col 22}{res}{space 2} .2804746{col 34}{space 2} .0232052{col 45}{space 1}   12.09{col 54}{space 3}0.000{col 62}{space 4} .2349641{col 75}{space 3} .3259852
{txt}{space 10}hour_first {c |}{col 22}{res}{space 2}-.2946623{col 34}{space 2} .2203802{col 45}{space 1}   -1.34{col 54}{space 3}0.181{col 62}{space 4}-.7268766{col 75}{space 3}  .137552
{txt}{space 9}hour_second {c |}{col 22}{res}{space 2}-.0474411{col 34}{space 2} .0435967{col 45}{space 1}   -1.09{col 54}{space 3}0.277{col 62}{space 4}-.1329439{col 75}{space 3} .0380617
{txt}{space 10}hour_third {c |}{col 22}{res}{space 2}-.0050288{col 34}{space 2} .0341261{col 45}{space 1}   -0.15{col 54}{space 3}0.883{col 62}{space 4}-.0719575{col 75}{space 3}    .0619
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 1.143402{col 34}{space 2} .1251764{col 45}{space 1}    9.13{col 54}{space 3}0.000{col 62}{space 4} .8979032{col 75}{space 3}   1.3889
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         
.         *Model 4
.         reg world_regions_us wave $controls_3 world_regions_russia world_regions_arab world_regions_asia world_regions_europe hour_first hour_second hour_third , robust 

{txt}Linear regression                               Number of obs     = {res}     1,906
                                                {txt}F(17, 1888)       =  {res}    27.17
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.2049
                                                {txt}Root MSE          =    {res} .68891

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}    world_regions_us{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.0404975{col 34}{space 2} .0319216{col 45}{space 1}   -1.27{col 54}{space 3}0.205{col 62}{space 4}-.1031029{col 75}{space 3} .0221079
{txt}{space 17}age {c |}{col 22}{res}{space 2}-.0020961{col 34}{space 2} .0012183{col 45}{space 1}   -1.72{col 54}{space 3}0.085{col 62}{space 4}-.0044853{col 75}{space 3} .0002932
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.0371397{col 34}{space 2} .0339594{col 45}{space 1}   -1.09{col 54}{space 3}0.274{col 62}{space 4}-.1037416{col 75}{space 3} .0294622
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}-.0737377{col 34}{space 2} .0220264{col 45}{space 1}   -3.35{col 54}{space 3}0.001{col 62}{space 4}-.1169364{col 75}{space 3}-.0305391
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2}-.1631585{col 34}{space 2}  .050604{col 45}{space 1}   -3.22{col 54}{space 3}0.001{col 62}{space 4}-.2624041{col 75}{space 3}-.0639129
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2}-.0162243{col 34}{space 2} .0216189{col 45}{space 1}   -0.75{col 54}{space 3}0.453{col 62}{space 4}-.0586238{col 75}{space 3} .0261752
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2} .0197332{col 34}{space 2} .0097977{col 45}{space 1}    2.01{col 54}{space 3}0.044{col 62}{space 4} .0005177{col 75}{space 3} .0389487
{txt}football_consumption {c |}{col 22}{res}{space 2} .0466482{col 34}{space 2} .0144259{col 45}{space 1}    3.23{col 54}{space 3}0.001{col 62}{space 4} .0183558{col 75}{space 3} .0749407
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}-.0518615{col 34}{space 2} .0198649{col 45}{space 1}   -2.61{col 54}{space 3}0.009{col 62}{space 4} -.090821{col 75}{space 3}-.0129021
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2}-.1160313{col 34}{space 2} .0467367{col 45}{space 1}   -2.48{col 54}{space 3}0.013{col 62}{space 4}-.2076923{col 75}{space 3}-.0243703
{txt}world_regions_russia {c |}{col 22}{res}{space 2}-.0843999{col 34}{space 2} .0239859{col 45}{space 1}   -3.52{col 54}{space 3}0.000{col 62}{space 4}-.1314416{col 75}{space 3}-.0373582
{txt}{space 2}world_regions_arab {c |}{col 22}{res}{space 2} .1386396{col 34}{space 2} .0287852{col 45}{space 1}    4.82{col 54}{space 3}0.000{col 62}{space 4} .0821854{col 75}{space 3} .1950938
{txt}{space 2}world_regions_asia {c |}{col 22}{res}{space 2} .1784131{col 34}{space 2} .0297492{col 45}{space 1}    6.00{col 54}{space 3}0.000{col 62}{space 4} .1200683{col 75}{space 3} .2367578
{txt}world_regions_europe {c |}{col 22}{res}{space 2} .3659891{col 34}{space 2}  .028918{col 45}{space 1}   12.66{col 54}{space 3}0.000{col 62}{space 4} .3092746{col 75}{space 3} .4227037
{txt}{space 10}hour_first {c |}{col 22}{res}{space 2} .3924324{col 34}{space 2} .2598309{col 45}{space 1}    1.51{col 54}{space 3}0.131{col 62}{space 4}-.1171534{col 75}{space 3} .9020182
{txt}{space 9}hour_second {c |}{col 22}{res}{space 2}-.0173373{col 34}{space 2} .0519697{col 45}{space 1}   -0.33{col 54}{space 3}0.739{col 62}{space 4}-.1192614{col 75}{space 3} .0845868
{txt}{space 10}hour_third {c |}{col 22}{res}{space 2}-.0083965{col 34}{space 2} .0393587{col 45}{space 1}   -0.21{col 54}{space 3}0.831{col 62}{space 4}-.0855876{col 75}{space 3} .0687946
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 1.214549{col 34}{space 2} .1386992{col 45}{space 1}    8.76{col 54}{space 3}0.000{col 62}{space 4} .9425292{col 75}{space 3} 1.486569
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                         
.         
.         ****************************************************************************
.         *Table A.6.30. World Cup start and change of opinions about German media and boycott with controls for daytime (Reference category: Hours 18:00-24:00)
.         ****************************************************************************    
.         
.         *Control variables
.         #delimit ;
{txt}delimiter now ;
{com}.         global controls_4 = "
>                                                  age
>                                                  male
>                                                  education3 
>                                                  mig_backg 
>                                                  pol_interest 
>                                                  pol_left_right 
>                                                  football_consumption 
>                                                  football_reports
>                                                  born_gdr
>                                                  world_regions_russia
>                                                  "
>         ;
{txt}
{com}.         #delimit cr     
{txt}delimiter now cr
{com}.                                                         
.         *Dependent variables
.         #delimit ;
{txt}delimiter now ;
{com}.         tokenize                           "
>                                                    qat_state_2_speech
>                                                    qat_state_2_critic
>                                                    pol_media_opinion
>                                                    football_boycott_pol 
>                                                    ";
{txt}
{com}.         #delimit cr     
{txt}delimiter now cr
{com}. 
.         *Models 1-4
.         forval j=1/4  {c -(} 
{txt}  2{com}.         
.         reg ``j'' wave $controls_4 hour_first hour_second hour_third, robust    
{txt}  3{com}.                 
.         {c )-}       

{txt}Linear regression                               Number of obs     = {res}     1,918
                                                {txt}F(14, 1903)       =  {res}    27.84
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1695
                                                {txt}Root MSE          =    {res} 1.1022

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}  qat_state_2_speech{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2} .1216142{col 34}{space 2} .0505937{col 45}{space 1}    2.40{col 54}{space 3}0.016{col 62}{space 4} .0223892{col 75}{space 3} .2208391
{txt}{space 17}age {c |}{col 22}{res}{space 2}-.0056372{col 34}{space 2} .0019119{col 45}{space 1}   -2.95{col 54}{space 3}0.003{col 62}{space 4}-.0093869{col 75}{space 3}-.0018875
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.0913859{col 34}{space 2} .0550868{col 45}{space 1}   -1.66{col 54}{space 3}0.097{col 62}{space 4}-.1994228{col 75}{space 3} .0166511
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}-.1626848{col 34}{space 2} .0343509{col 45}{space 1}   -4.74{col 54}{space 3}0.000{col 62}{space 4}-.2300541{col 75}{space 3}-.0953155
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .1156619{col 34}{space 2}  .074064{col 45}{space 1}    1.56{col 54}{space 3}0.119{col 62}{space 4}-.0295931{col 75}{space 3}  .260917
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0393883{col 34}{space 2} .0344929{col 45}{space 1}    1.14{col 54}{space 3}0.254{col 62}{space 4}-.0282596{col 75}{space 3} .1070362
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2} .0899865{col 34}{space 2} .0152384{col 45}{space 1}    5.91{col 54}{space 3}0.000{col 62}{space 4} .0601008{col 75}{space 3} .1198723
{txt}football_consumption {c |}{col 22}{res}{space 2} .0571502{col 34}{space 2} .0242514{col 45}{space 1}    2.36{col 54}{space 3}0.019{col 62}{space 4}  .009588{col 75}{space 3} .1047123
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}-.1866956{col 34}{space 2} .0321621{col 45}{space 1}   -5.80{col 54}{space 3}0.000{col 62}{space 4}-.2497723{col 75}{space 3} -.123619
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .1973705{col 34}{space 2} .0701481{col 45}{space 1}    2.81{col 54}{space 3}0.005{col 62}{space 4} .0597952{col 75}{space 3} .3349458
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .3963259{col 34}{space 2} .0328375{col 45}{space 1}   12.07{col 54}{space 3}0.000{col 62}{space 4} .3319246{col 75}{space 3} .4607272
{txt}{space 10}hour_first {c |}{col 22}{res}{space 2} .2438372{col 34}{space 2} .2934717{col 45}{space 1}    0.83{col 54}{space 3}0.406{col 62}{space 4}-.3317228{col 75}{space 3} .8193973
{txt}{space 9}hour_second {c |}{col 22}{res}{space 2}  .028466{col 34}{space 2} .0787622{col 45}{space 1}    0.36{col 54}{space 3}0.718{col 62}{space 4}-.1260034{col 75}{space 3} .1829353
{txt}{space 10}hour_third {c |}{col 22}{res}{space 2} .0169182{col 34}{space 2}  .061043{col 45}{space 1}    0.28{col 54}{space 3}0.782{col 62}{space 4}-.1028001{col 75}{space 3} .1366364
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 1.775734{col 34}{space 2} .1869045{col 45}{space 1}    9.50{col 54}{space 3}0.000{col 62}{space 4} 1.409175{col 75}{space 3} 2.142293
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Linear regression                               Number of obs     = {res}     1,918
                                                {txt}F(14, 1903)       =  {res}    13.69
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1015
                                                {txt}Root MSE          =    {res} 1.1481

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}  qat_state_2_critic{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2} .1107835{col 34}{space 2} .0526475{col 45}{space 1}    2.10{col 54}{space 3}0.035{col 62}{space 4} .0075307{col 75}{space 3} .2140363
{txt}{space 17}age {c |}{col 22}{res}{space 2}-.0039194{col 34}{space 2} .0019964{col 45}{space 1}   -1.96{col 54}{space 3}0.050{col 62}{space 4}-.0078348{col 75}{space 3}-4.01e-06
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.0610154{col 34}{space 2}  .056457{col 45}{space 1}   -1.08{col 54}{space 3}0.280{col 62}{space 4}-.1717395{col 75}{space 3} .0497087
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}-.0673967{col 34}{space 2} .0357646{col 45}{space 1}   -1.88{col 54}{space 3}0.060{col 62}{space 4}-.1375386{col 75}{space 3} .0027452
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .0648394{col 34}{space 2} .0772302{col 45}{space 1}    0.84{col 54}{space 3}0.401{col 62}{space 4}-.0866253{col 75}{space 3} .2163041
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2}  .013743{col 34}{space 2} .0349506{col 45}{space 1}    0.39{col 54}{space 3}0.694{col 62}{space 4}-.0548024{col 75}{space 3} .0822885
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2} .0465601{col 34}{space 2} .0152683{col 45}{space 1}    3.05{col 54}{space 3}0.002{col 62}{space 4} .0166157{col 75}{space 3} .0765045
{txt}football_consumption {c |}{col 22}{res}{space 2} .0963772{col 34}{space 2}  .023992{col 45}{space 1}    4.02{col 54}{space 3}0.000{col 62}{space 4} .0493238{col 75}{space 3} .1434306
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}-.1981657{col 34}{space 2} .0337001{col 45}{space 1}   -5.88{col 54}{space 3}0.000{col 62}{space 4}-.2642588{col 75}{space 3}-.1320727
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .2182544{col 34}{space 2} .0692266{col 45}{space 1}    3.15{col 54}{space 3}0.002{col 62}{space 4} .0824864{col 75}{space 3} .3540224
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .2932733{col 34}{space 2} .0332077{col 45}{space 1}    8.83{col 54}{space 3}0.000{col 62}{space 4} .2281459{col 75}{space 3} .3584006
{txt}{space 10}hour_first {c |}{col 22}{res}{space 2}-.1285148{col 34}{space 2} .2590935{col 45}{space 1}   -0.50{col 54}{space 3}0.620{col 62}{space 4}-.6366519{col 75}{space 3} .3796223
{txt}{space 9}hour_second {c |}{col 22}{res}{space 2} .0629453{col 34}{space 2} .0846089{col 45}{space 1}    0.74{col 54}{space 3}0.457{col 62}{space 4}-.1029907{col 75}{space 3} .2288814
{txt}{space 10}hour_third {c |}{col 22}{res}{space 2} .0578157{col 34}{space 2} .0638295{col 45}{space 1}    0.91{col 54}{space 3}0.365{col 62}{space 4}-.0673675{col 75}{space 3} .1829989
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 2.052152{col 34}{space 2} .1949977{col 45}{space 1}   10.52{col 54}{space 3}0.000{col 62}{space 4}  1.66972{col 75}{space 3} 2.434584
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Linear regression                               Number of obs     = {res}     1,921
                                                {txt}F(14, 1906)       =  {res}    15.66
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0963
                                                {txt}Root MSE          =    {res} 1.0708

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}   pol_media_opinion{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2} .0981238{col 34}{space 2} .0490877{col 45}{space 1}    2.00{col 54}{space 3}0.046{col 62}{space 4} .0018526{col 75}{space 3}  .194395
{txt}{space 17}age {c |}{col 22}{res}{space 2}-.0014044{col 34}{space 2} .0018751{col 45}{space 1}   -0.75{col 54}{space 3}0.454{col 62}{space 4}-.0050818{col 75}{space 3} .0022731
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.0057807{col 34}{space 2} .0526587{col 45}{space 1}   -0.11{col 54}{space 3}0.913{col 62}{space 4}-.1090555{col 75}{space 3} .0974941
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}-.0432644{col 34}{space 2} .0336489{col 45}{space 1}   -1.29{col 54}{space 3}0.199{col 62}{space 4}-.1092569{col 75}{space 3} .0227282
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .1289292{col 34}{space 2} .0708667{col 45}{space 1}    1.82{col 54}{space 3}0.069{col 62}{space 4}-.0100552{col 75}{space 3} .2679136
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2}   .01568{col 34}{space 2} .0324834{col 45}{space 1}    0.48{col 54}{space 3}0.629{col 62}{space 4}-.0480268{col 75}{space 3} .0793868
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2} .0867985{col 34}{space 2} .0135605{col 45}{space 1}    6.40{col 54}{space 3}0.000{col 62}{space 4} .0602034{col 75}{space 3} .1133935
{txt}football_consumption {c |}{col 22}{res}{space 2} .0171475{col 34}{space 2} .0225236{col 45}{space 1}    0.76{col 54}{space 3}0.447{col 62}{space 4} -.027026{col 75}{space 3} .0613211
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2} .0188929{col 34}{space 2}  .030092{col 45}{space 1}    0.63{col 54}{space 3}0.530{col 62}{space 4}-.0401237{col 75}{space 3} .0779096
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .1305831{col 34}{space 2} .0649975{col 45}{space 1}    2.01{col 54}{space 3}0.045{col 62}{space 4} .0031093{col 75}{space 3} .2580568
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .2954059{col 34}{space 2} .0308657{col 45}{space 1}    9.57{col 54}{space 3}0.000{col 62}{space 4} .2348718{col 75}{space 3}   .35594
{txt}{space 10}hour_first {c |}{col 22}{res}{space 2} .4557869{col 34}{space 2} .1799769{col 45}{space 1}    2.53{col 54}{space 3}0.011{col 62}{space 4} .1028145{col 75}{space 3} .8087594
{txt}{space 9}hour_second {c |}{col 22}{res}{space 2} .0511999{col 34}{space 2} .0782489{col 45}{space 1}    0.65{col 54}{space 3}0.513{col 62}{space 4}-.1022626{col 75}{space 3} .2046623
{txt}{space 10}hour_third {c |}{col 22}{res}{space 2}-.0741568{col 34}{space 2} .0590449{col 45}{space 1}   -1.26{col 54}{space 3}0.209{col 62}{space 4}-.1899562{col 75}{space 3} .0416425
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 2.161916{col 34}{space 2}  .172085{col 45}{space 1}   12.56{col 54}{space 3}0.000{col 62}{space 4} 1.824422{col 75}{space 3} 2.499411
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Linear regression                               Number of obs     = {res}     1,928
                                                {txt}F(14, 1913)       =  {res}    16.69
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1025
                                                {txt}Root MSE          =    {res} 1.1549

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}football_boycott_pol{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.1374711{col 34}{space 2} .0531161{col 45}{space 1}   -2.59{col 54}{space 3}0.010{col 62}{space 4}-.2416426{col 75}{space 3}-.0332995
{txt}{space 17}age {c |}{col 22}{res}{space 2} .0057866{col 34}{space 2} .0020307{col 45}{space 1}    2.85{col 54}{space 3}0.004{col 62}{space 4}  .001804{col 75}{space 3} .0097692
{txt}{space 16}male {c |}{col 22}{res}{space 2} .0061831{col 34}{space 2} .0555512{col 45}{space 1}    0.11{col 54}{space 3}0.911{col 62}{space 4}-.1027643{col 75}{space 3} .1151305
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} .0463895{col 34}{space 2} .0364143{col 45}{space 1}    1.27{col 54}{space 3}0.203{col 62}{space 4}-.0250264{col 75}{space 3} .1178054
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2}-.2061837{col 34}{space 2}  .084413{col 45}{space 1}   -2.44{col 54}{space 3}0.015{col 62}{space 4}-.3717349{col 75}{space 3}-.0406325
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} .0281834{col 34}{space 2} .0356967{col 45}{space 1}    0.79{col 54}{space 3}0.430{col 62}{space 4}-.0418251{col 75}{space 3} .0981919
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.0580541{col 34}{space 2} .0155955{col 45}{space 1}   -3.72{col 54}{space 3}0.000{col 62}{space 4}  -.08864{col 75}{space 3}-.0274681
{txt}football_consumption {c |}{col 22}{res}{space 2}-.1294917{col 34}{space 2} .0243403{col 45}{space 1}   -5.32{col 54}{space 3}0.000{col 62}{space 4}-.1772281{col 75}{space 3}-.0817553
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2} .2420694{col 34}{space 2} .0325948{col 45}{space 1}    7.43{col 54}{space 3}0.000{col 62}{space 4} .1781442{col 75}{space 3} .3059946
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2}-.1644784{col 34}{space 2} .0718451{col 45}{space 1}   -2.29{col 54}{space 3}0.022{col 62}{space 4}-.3053813{col 75}{space 3}-.0235755
{txt}world_regions_russia {c |}{col 22}{res}{space 2}-.2153295{col 34}{space 2} .0346216{col 45}{space 1}   -6.22{col 54}{space 3}0.000{col 62}{space 4}-.2832296{col 75}{space 3}-.1474294
{txt}{space 10}hour_first {c |}{col 22}{res}{space 2} .4589865{col 34}{space 2} .4263565{col 45}{space 1}    1.08{col 54}{space 3}0.282{col 62}{space 4} -.377186{col 75}{space 3} 1.295159
{txt}{space 9}hour_second {c |}{col 22}{res}{space 2} .0420071{col 34}{space 2} .0861499{col 45}{space 1}    0.49{col 54}{space 3}0.626{col 62}{space 4}-.1269505{col 75}{space 3} .2109648
{txt}{space 10}hour_third {c |}{col 22}{res}{space 2}-.0201376{col 34}{space 2} .0648949{col 45}{space 1}   -0.31{col 54}{space 3}0.756{col 62}{space 4}-.1474098{col 75}{space 3} .1071347
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 3.749948{col 34}{space 2} .2004988{col 45}{space 1}   18.70{col 54}{space 3}0.000{col 62}{space 4} 3.356729{col 75}{space 3} 4.143167
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         
.         
.         ****************************************************************************
.         *Table A.6.31. Clustered standard errors: World Cup start and change of political opinions with controls for daytime (Reference category: Hours 18:00-24:00)
.         ****************************************************************************    
.         
.         *Control variables
.         #delimit ;
{txt}delimiter now ;
{com}.         global controls_5 = "
>                                                  age
>                                                  male
>                                                  education3 
>                                                  mig_backg 
>                                                  pol_interest 
>                                                  pol_left_right 
>                                                  football_consumption 
>                                                  football_reports
>                                                  born_gdr
>                                                  world_regions_russia
>                                                  "
>         ;
{txt}
{com}.         #delimit cr     
{txt}delimiter now cr
{com}.         
.         *Dependent variables
.         #delimit ;
{txt}delimiter now ;
{com}.         tokenize                           "    
>                                                    pol_woke_female
>                                                    pol_xeno_mosque
>                                                    pol_woke_homo
>                                                    pol_xeno_security
>                                                    ";
{txt}
{com}.         #delimit cr                                                        
{txt}delimiter now cr
{com}. 
.         *Models 1-4
.         forval j=1/4  {c -(} 
{txt}  2{com}.         
.         reg ``j'' wave $controls_5 hour_first hour_second hour_third, robust
{txt}  3{com}.         
.         {c )-}       

{txt}Linear regression                               Number of obs     = {res}     1,923
                                                {txt}F(14, 1908)       =  {res}    13.35
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0881
                                                {txt}Root MSE          =    {res} 1.0197

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}     pol_woke_female{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2} .0126467{col 34}{space 2} .0470028{col 45}{space 1}    0.27{col 54}{space 3}0.788{col 62}{space 4}-.0795355{col 75}{space 3} .1048289
{txt}{space 17}age {c |}{col 22}{res}{space 2} .0049327{col 34}{space 2} .0017035{col 45}{space 1}    2.90{col 54}{space 3}0.004{col 62}{space 4} .0015917{col 75}{space 3} .0082736
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.3916651{col 34}{space 2} .0505099{col 45}{space 1}   -7.75{col 54}{space 3}0.000{col 62}{space 4}-.4907256{col 75}{space 3}-.2926047
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}-.0564095{col 34}{space 2} .0313198{col 45}{space 1}   -1.80{col 54}{space 3}0.072{col 62}{space 4}-.1178343{col 75}{space 3} .0050152
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .0594985{col 34}{space 2} .0720932{col 45}{space 1}    0.83{col 54}{space 3}0.409{col 62}{space 4}-.0818913{col 75}{space 3} .2008882
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2} -.021304{col 34}{space 2} .0309785{col 45}{space 1}   -0.69{col 54}{space 3}0.492{col 62}{space 4}-.0820594{col 75}{space 3} .0394513
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.1029651{col 34}{space 2}  .013904{col 45}{space 1}   -7.41{col 54}{space 3}0.000{col 62}{space 4}-.1302337{col 75}{space 3}-.0756964
{txt}football_consumption {c |}{col 22}{res}{space 2}-.0033671{col 34}{space 2}  .020683{col 45}{space 1}   -0.16{col 54}{space 3}0.871{col 62}{space 4}-.0439308{col 75}{space 3} .0371965
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2} .0146397{col 34}{space 2} .0288117{col 45}{space 1}    0.51{col 54}{space 3}0.611{col 62}{space 4}-.0418661{col 75}{space 3} .0711456
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2}-.0887008{col 34}{space 2} .0641775{col 45}{space 1}   -1.38{col 54}{space 3}0.167{col 62}{space 4}-.2145662{col 75}{space 3} .0371646
{txt}world_regions_russia {c |}{col 22}{res}{space 2}-.0313512{col 34}{space 2} .0301029{col 45}{space 1}   -1.04{col 54}{space 3}0.298{col 62}{space 4}-.0903893{col 75}{space 3} .0276869
{txt}{space 10}hour_first {c |}{col 22}{res}{space 2}   .72192{col 34}{space 2} .1635494{col 45}{space 1}    4.41{col 54}{space 3}0.000{col 62}{space 4} .4011655{col 75}{space 3} 1.042674
{txt}{space 9}hour_second {c |}{col 22}{res}{space 2}-.1106026{col 34}{space 2} .0751264{col 45}{space 1}   -1.47{col 54}{space 3}0.141{col 62}{space 4} -.257941{col 75}{space 3} .0367359
{txt}{space 10}hour_third {c |}{col 22}{res}{space 2} .0258102{col 34}{space 2} .0583359{col 45}{space 1}    0.44{col 54}{space 3}0.658{col 62}{space 4}-.0885987{col 75}{space 3} .1402191
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 3.970325{col 34}{space 2} .1699113{col 45}{space 1}   23.37{col 54}{space 3}0.000{col 62}{space 4} 3.637094{col 75}{space 3} 4.303556
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Linear regression                               Number of obs     = {res}     1,912
                                                {txt}F(14, 1897)       =  {res}    18.56
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1230
                                                {txt}Root MSE          =    {res} 1.2029

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}     pol_xeno_mosque{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2}-.0193449{col 34}{space 2} .0555652{col 45}{space 1}   -0.35{col 54}{space 3}0.728{col 62}{space 4}-.1283203{col 75}{space 3} .0896305
{txt}{space 17}age {c |}{col 22}{res}{space 2}-.0097183{col 34}{space 2} .0021417{col 45}{space 1}   -4.54{col 54}{space 3}0.000{col 62}{space 4}-.0139186{col 75}{space 3} -.005518
{txt}{space 16}male {c |}{col 22}{res}{space 2} .0414112{col 34}{space 2} .0583638{col 45}{space 1}    0.71{col 54}{space 3}0.478{col 62}{space 4}-.0730528{col 75}{space 3} .1558751
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} .2096261{col 34}{space 2} .0382142{col 45}{space 1}    5.49{col 54}{space 3}0.000{col 62}{space 4} .1346798{col 75}{space 3} .2845723
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2} .0347792{col 34}{space 2} .0864108{col 45}{space 1}    0.40{col 54}{space 3}0.687{col 62}{space 4} -.134691{col 75}{space 3} .2042494
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2}-.0017749{col 34}{space 2} .0355584{col 45}{space 1}   -0.05{col 54}{space 3}0.960{col 62}{space 4}-.0715127{col 75}{space 3} .0679628
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2}-.1710179{col 34}{space 2} .0166271{col 45}{space 1}  -10.29{col 54}{space 3}0.000{col 62}{space 4}-.2036271{col 75}{space 3}-.1384086
{txt}football_consumption {c |}{col 22}{res}{space 2} .0749292{col 34}{space 2} .0248377{col 45}{space 1}    3.02{col 54}{space 3}0.003{col 62}{space 4} .0262173{col 75}{space 3} .1236412
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}-.0410918{col 34}{space 2}  .033786{col 45}{space 1}   -1.22{col 54}{space 3}0.224{col 62}{space 4}-.1073533{col 75}{space 3} .0251697
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2}-.1416219{col 34}{space 2} .0736315{col 45}{space 1}   -1.92{col 54}{space 3}0.055{col 62}{space 4}-.2860291{col 75}{space 3} .0027854
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .1221103{col 34}{space 2} .0351269{col 45}{space 1}    3.48{col 54}{space 3}0.001{col 62}{space 4} .0532189{col 75}{space 3} .1910017
{txt}{space 10}hour_first {c |}{col 22}{res}{space 2} .5523141{col 34}{space 2} .6386773{col 45}{space 1}    0.86{col 54}{space 3}0.387{col 62}{space 4}-.7002695{col 75}{space 3} 1.804898
{txt}{space 9}hour_second {c |}{col 22}{res}{space 2} .0304739{col 34}{space 2} .0882622{col 45}{space 1}    0.35{col 54}{space 3}0.730{col 62}{space 4}-.1426274{col 75}{space 3} .2035751
{txt}{space 10}hour_third {c |}{col 22}{res}{space 2} .1202216{col 34}{space 2} .0661584{col 45}{space 1}    1.82{col 54}{space 3}0.069{col 62}{space 4}-.0095292{col 75}{space 3} .2499724
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 3.050126{col 34}{space 2} .2031935{col 45}{space 1}   15.01{col 54}{space 3}0.000{col 62}{space 4}  2.65162{col 75}{space 3} 3.448632
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Linear regression                               Number of obs     = {res}     1,924
                                                {txt}F(14, 1909)       =  {res}    27.54
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1550
                                                {txt}Root MSE          =    {res} 1.2379

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}       pol_woke_homo{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2} .1315438{col 34}{space 2} .0569976{col 45}{space 1}    2.31{col 54}{space 3}0.021{col 62}{space 4} .0197596{col 75}{space 3} .2433279
{txt}{space 17}age {c |}{col 22}{res}{space 2}-.0021031{col 34}{space 2} .0021602{col 45}{space 1}   -0.97{col 54}{space 3}0.330{col 62}{space 4}-.0063396{col 75}{space 3} .0021334
{txt}{space 16}male {c |}{col 22}{res}{space 2} .2570069{col 34}{space 2} .0610623{col 45}{space 1}    4.21{col 54}{space 3}0.000{col 62}{space 4} .1372512{col 75}{space 3} .3767627
{txt}{space 10}education3 {c |}{col 22}{res}{space 2}-.1587556{col 34}{space 2} .0392762{col 45}{space 1}   -4.04{col 54}{space 3}0.000{col 62}{space 4}-.2357845{col 75}{space 3}-.0817267
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2}  .247226{col 34}{space 2}  .083556{col 45}{space 1}    2.96{col 54}{space 3}0.003{col 62}{space 4} .0833554{col 75}{space 3} .4110967
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2}  .096488{col 34}{space 2} .0374772{col 45}{space 1}    2.57{col 54}{space 3}0.010{col 62}{space 4} .0229875{col 75}{space 3} .1699886
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2} .1752535{col 34}{space 2} .0160847{col 45}{space 1}   10.90{col 54}{space 3}0.000{col 62}{space 4} .1437081{col 75}{space 3}  .206799
{txt}football_consumption {c |}{col 22}{res}{space 2} .0649874{col 34}{space 2} .0253814{col 45}{space 1}    2.56{col 54}{space 3}0.011{col 62}{space 4} .0152092{col 75}{space 3} .1147655
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}-.1134896{col 34}{space 2} .0348075{col 45}{space 1}   -3.26{col 54}{space 3}0.001{col 62}{space 4}-.1817543{col 75}{space 3}-.0452248
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .0915288{col 34}{space 2} .0742783{col 45}{space 1}    1.23{col 54}{space 3}0.218{col 62}{space 4}-.0541464{col 75}{space 3} .2372039
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .2572109{col 34}{space 2} .0354606{col 45}{space 1}    7.25{col 54}{space 3}0.000{col 62}{space 4} .1876654{col 75}{space 3} .3267564
{txt}{space 10}hour_first {c |}{col 22}{res}{space 2}-.1990258{col 34}{space 2} .4036685{col 45}{space 1}   -0.49{col 54}{space 3}0.622{col 62}{space 4}-.9907036{col 75}{space 3} .5926519
{txt}{space 9}hour_second {c |}{col 22}{res}{space 2}  .172131{col 34}{space 2} .0931168{col 45}{space 1}    1.85{col 54}{space 3}0.065{col 62}{space 4}-.0104905{col 75}{space 3} .3547524
{txt}{space 10}hour_third {c |}{col 22}{res}{space 2} .0067229{col 34}{space 2} .0683997{col 45}{space 1}    0.10{col 54}{space 3}0.922{col 62}{space 4}-.1274231{col 75}{space 3} .1408689
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 1.361362{col 34}{space 2} .2041224{col 45}{space 1}    6.67{col 54}{space 3}0.000{col 62}{space 4}  .961036{col 75}{space 3} 1.761689
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Linear regression                               Number of obs     = {res}     1,915
                                                {txt}F(14, 1900)       =  {res}    22.44
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1432
                                                {txt}Root MSE          =    {res} 1.1817

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}   pol_xeno_security{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}wave {c |}{col 22}{res}{space 2} .1216197{col 34}{space 2}  .054363{col 45}{space 1}    2.24{col 54}{space 3}0.025{col 62}{space 4} .0150022{col 75}{space 3} .2282371
{txt}{space 17}age {c |}{col 22}{res}{space 2} .0037654{col 34}{space 2} .0020843{col 45}{space 1}    1.81{col 54}{space 3}0.071{col 62}{space 4}-.0003223{col 75}{space 3}  .007853
{txt}{space 16}male {c |}{col 22}{res}{space 2}-.0647271{col 34}{space 2}  .057986{col 45}{space 1}   -1.12{col 54}{space 3}0.264{col 62}{space 4}  -.17845{col 75}{space 3} .0489958
{txt}{space 10}education3 {c |}{col 22}{res}{space 2} -.259465{col 34}{space 2} .0367765{col 45}{space 1}   -7.06{col 54}{space 3}0.000{col 62}{space 4}-.3315917{col 75}{space 3}-.1873384
{txt}{space 11}mig_backg {c |}{col 22}{res}{space 2}-.0759777{col 34}{space 2} .0766027{col 45}{space 1}   -0.99{col 54}{space 3}0.321{col 62}{space 4} -.226212{col 75}{space 3} .0742565
{txt}{space 8}pol_interest {c |}{col 22}{res}{space 2}  .064534{col 34}{space 2} .0366499{col 45}{space 1}    1.76{col 54}{space 3}0.078{col 62}{space 4}-.0073443{col 75}{space 3} .1364123
{txt}{space 6}pol_left_right {c |}{col 22}{res}{space 2} .1936764{col 34}{space 2} .0163327{col 45}{space 1}   11.86{col 54}{space 3}0.000{col 62}{space 4} .1616444{col 75}{space 3} .2257083
{txt}football_consumption {c |}{col 22}{res}{space 2} .0120969{col 34}{space 2} .0251453{col 45}{space 1}    0.48{col 54}{space 3}0.631{col 62}{space 4}-.0372184{col 75}{space 3} .0614123
{txt}{space 4}football_reports {c |}{col 22}{res}{space 2}-.0305196{col 34}{space 2} .0345939{col 45}{space 1}   -0.88{col 54}{space 3}0.378{col 62}{space 4}-.0983657{col 75}{space 3} .0373264
{txt}{space 12}born_gdr {c |}{col 22}{res}{space 2} .1183916{col 34}{space 2} .0720454{col 45}{space 1}    1.64{col 54}{space 3}0.100{col 62}{space 4}-.0229049{col 75}{space 3}  .259688
{txt}world_regions_russia {c |}{col 22}{res}{space 2} .1183072{col 34}{space 2} .0339568{col 45}{space 1}    3.48{col 54}{space 3}0.001{col 62}{space 4} .0517106{col 75}{space 3} .1849038
{txt}{space 10}hour_first {c |}{col 22}{res}{space 2} .1663943{col 34}{space 2} .3643892{col 45}{space 1}    0.46{col 54}{space 3}0.648{col 62}{space 4}-.5482507{col 75}{space 3} .8810392
{txt}{space 9}hour_second {c |}{col 22}{res}{space 2}-.0535394{col 34}{space 2} .0870005{col 45}{space 1}   -0.62{col 54}{space 3}0.538{col 62}{space 4}-.2241659{col 75}{space 3}  .117087
{txt}{space 10}hour_third {c |}{col 22}{res}{space 2}-.1174209{col 34}{space 2}  .065262{col 45}{space 1}   -1.80{col 54}{space 3}0.072{col 62}{space 4}-.2454136{col 75}{space 3} .0105718
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 2.158537{col 34}{space 2} .1982053{col 45}{space 1}   10.89{col 54}{space 3}0.000{col 62}{space 4} 1.769814{col 75}{space 3}  2.54726
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 
.                 
.                 
. ********************************************************************************
. *
. *  Plausibility checks
. *
. ********************************************************************************                        
.                 
. 
.         ****************************************************************************
.         *Figure A.7.1. Patterns in google search terms
.         ****************************************************************************            
.                         
.         *Loading dataset
.         use "$path\searchterm_data.dta", clear
{txt}(Glaessel, Scharpf, Edwards. 'Does sportswashing work?' JoP [google trends])

{com}.         
. 
.         ********************************
.         * Preparing data
.         ********************************
.         
.         *Generation variables for shading World Cup days
.         gen low=-1
{txt}
{com}.         gen high=105
{txt}
{com}.         
.         *Generating variable to highlight day of World Cup opening
.         gen xaxis=.
{txt}(70 missing values generated)

{com}.         replace xaxis=day if day==20
{txt}(7 real changes made)

{com}.         
. 
.         ********************************        
.         * Panel (a)
.         ********************************        
.         
.         *Graph: Football world cup
.         #delimit ;
{txt}delimiter now ;
{com}.         twoway 
>                         (rarea high low day if day>=19.5, color(gs14%100) lwidth(0))
>                         (rspike high low xaxis, color(black) lpattern(shortdash) lwidth(*.5))                   
>                         (connected trendscore day if id==3, msize(*1.25) mcolor(black) lcolor(black) lpattern(solid))
>                    ,
>                         ysize(1)
>                         xsize(1.5)                      
>                         yscale(range() noextend titlegap(*+5))
>                         xscale(range() noextend titlegap(*+7) lcolor(white))
>                         ylabel(0(20)100, angle(horizontal) nogrid labsize(*1.2))
>                         xlabel(14(1)23, labgap(*2.5) labsize(*1.2) labcolor(white) tlcolor(white))
>                         ytitle("Football World Cup", size(*1.2))
>                         xtitle("Day", size(*1.2) color(white))                  
>                         graphregion(color(white) lcolor(white) lalign(outside))
>                         legend(off)
>                         name(worldcup, replace)
>                    ;
{res}{txt}
{com}.         #delimit cr             
{txt}delimiter now cr
{com}.                         
.         *Graph: Qatar
.         #delimit ;
{txt}delimiter now ;
{com}.         twoway 
>                         (rarea high low day if day>=19.5, color(gs14%100) lwidth(0))
>                         (rspike high low xaxis, color(black) lpattern(shortdash) lwidth(*.5))                   
>                         (connected trendscore day if id==5, msize(*1.25) mcolor(black) lcolor(black) lpattern(solid))
>                    ,
>                         ysize(1)
>                         xsize(1.5)                      
>                         yscale(range() noextend titlegap(*+5))
>                         xscale(range() noextend titlegap(*+7) lcolor(white))
>                         ylabel(0(20)100, angle(horizontal) nogrid labsize(*1.2))
>                         xlabel(14(1)23, labgap(*2.5) labsize(*1.2) labcolor(white) tlcolor(white) )     
>                         ytitle("Qatar", size(*1.2))
>                         xtitle("Day", size(*1.2)  color(white))                 
>                         graphregion(color(white) lcolor(white) lalign(outside))
>                         legend(off)
>                         name(qatar, replace)
>                    ;
{res}{txt}
{com}.         #delimit cr             
{txt}delimiter now cr
{com}.         
.         *Graph: Opening ceremony        
.         #delimit ;
{txt}delimiter now ;
{com}.         twoway 
>                         (rarea high low day if day>=19.5, color(gs14%100) lwidth(0))
>                         (rspike high low xaxis, color(black) lpattern(shortdash) lwidth(*.5))                   
>                         (connected trendscore day if id==2, msize(*1.25) mcolor(black) lcolor(black) lpattern(solid))
>                    ,
>                         ysize(1)
>                         xsize(1.5)                      
>                         yscale(range() noextend titlegap(*+5))
>                         xscale(range() noextend titlegap(*+7))
>                         ylabel(0(20)100, angle(horizontal) nogrid labsize(*1.2))
>                         xlabel(14(1)23, labgap(*2.5) labsize(*1.2))     
>                         ytitle("Opening ceremony + ZDF", size(*1.2))
>                         xtitle("Day", size(*1.2))                       
>                         graphregion(color(white) lcolor(white) lalign(outside))
>                         legend(off)
>                         name(openingzdf, replace)
>                    ;
{res}{txt}
{com}.         #delimit cr                     
{txt}delimiter now cr
{com}.                 
.         *Combining graphs
.         #delimit ;
{txt}delimiter now ;
{com}.         graph combine worldcup qatar openingzdf
>                   , 
>                   ysize(1.5) 
>                   xsize(1) 
>                   row(3) 
>                   imargin(l=0 r=0 b=-7 t=0)
>                   graphregion(color(white) lcolor(white) lalign(outside))
>         ;
{res}{txt}
{com}.                 #delimit cr     
{txt}delimiter now cr
{com}.         graph export "$path/figure_A_7_1_a.pdf", replace as(pdf)                
{txt}(file C:\Users\pxq521\Desktop\Glaessel_Scharpf_Edwards_Sportswashing_JoP_Replication/figure_A_7_1_a.pdf written in PDF format)

{com}.         
.         
.         ********************************        
.         * Panel (b)
.         ********************************        
.         
.         *Graph: Hypocrisy       
.         #delimit ;
{txt}delimiter now ;
{com}.         twoway 
>                         (rarea high low day if day>=19.5, color(gs14%100) lwidth(0))
>                         (rspike high low xaxis, color(black) lpattern(shortdash) lwidth(*.5))                   
>                         (connected trendscore day if id==4, msize(*1.25) mcolor(black) lcolor(black) lpattern(solid))
>                    ,
>                         ysize(1)
>                         xsize(1.5)                      
>                         yscale(range() noextend titlegap(*+5))
>                         xscale(range() noextend titlegap(*+7) lcolor(white))
>                         ylabel(0(20)100, angle(horizontal) nogrid labsize(*1.2))
>                         xlabel(14(1)23, labgap(*2.5) labsize(*1.2) labcolor(white) tlcolor(white))      
>                         ytitle("Hypocrisy", size(*1.2))
>                         xtitle("Day", size(*1.2) color(white))                  
>                         graphregion(color(white) lcolor(white) lalign(outside))
>                         legend(off)
>                         name(hypocrisy, replace)
>                    ;
{res}{txt}
{com}.         #delimit cr             
{txt}delimiter now cr
{com}.         
.         *Graph: One-sided reporting     
.         #delimit ;
{txt}delimiter now ;
{com}.         twoway 
>                         (rarea high low day if day>=19.5, color(gs14%100) lwidth(0))
>                         (rspike high low xaxis, color(black) lpattern(shortdash) lwidth(*.5))                   
>                         (connected trendscore day if id==1, msize(*1.25) mcolor(black) lcolor(black) lpattern(solid))
>                    ,
>                         ysize(1)
>                         xsize(1.5)                      
>                         yscale(range() noextend titlegap(*+5))
>                         xscale(range() noextend titlegap(*+7) lcolor(white))
>                         ylabel(0(20)100, angle(horizontal) nogrid labsize(*1.2))
>                         xlabel(14(1)23, labgap(*2.5) labsize(*1.2) labcolor(white) tlcolor(white))
>                         ytitle("One-sided reporting", size(*1.2))
>                         xtitle("Day", size(*1.2) color(white))                  
>                         graphregion(color(white) lcolor(white) lalign(outside))
>                         legend(off)
>                         name(onesidereporting, replace)
>                    ;
{res}{txt}
{com}.         #delimit cr             
{txt}delimiter now cr
{com}.                         
.         *Graph: Lying press
.         #delimit ;
{txt}delimiter now ;
{com}.         twoway 
>                         (rarea high low day if day>=19.5, color(gs14%100) lwidth(0))
>                         (rspike high low xaxis, color(black) lpattern(shortdash) lwidth(*.5))                   
>                         (connected trendscore day if id==7, msize(*1.25) mcolor(black) lcolor(black) lpattern(solid))
>                    ,
>                         ysize(1)
>                         xsize(1.5)                      
>                         yscale(range() noextend titlegap(*+5))
>                         xscale(range() noextend titlegap(*+7))
>                         ylabel(0(20)100, angle(horizontal) nogrid labsize(*1.2))
>                         xlabel(14(1)23, labgap(*2.5) labsize(*1.2))     
>                         ytitle("Lying press", size(*1.2))
>                         xtitle("Day", size(*1.2))                       
>                         graphregion(color(white) lcolor(white) lalign(outside))
>                         legend(off)
>                         name(lyingpress, replace)
>                    ;
{res}{txt}
{com}.         #delimit cr             
{txt}delimiter now cr
{com}.                 
.         *Combining graphs
.         #delimit ;
{txt}delimiter now ;
{com}.         graph combine hypocrisy onesidereporting lyingpress
>                   , 
>                   ysize(1.5) 
>                   xsize(1) 
>                   row(3) 
>                   imargin(l=0 r=0 b=-7 t=0)
>                   graphregion(color(white) lcolor(white) lalign(outside))
>         ;
{res}{txt}
{com}.                 #delimit cr     
{txt}delimiter now cr
{com}.         graph export "$path/figure_A_7_1_b.pdf", replace as(pdf)
{txt}(file C:\Users\pxq521\Desktop\Glaessel_Scharpf_Edwards_Sportswashing_JoP_Replication/figure_A_7_1_b.pdf written in PDF format)

{com}.         
. 
.         ****************************************************************************
.         *Figure A.7.2. Twitter replies in response to broadcast announcement by German TV (ZDF) on day of World Cup start
.         ****************************************************************************                    
.                                 
.         *Loading dataset
.         use "$path\tweets_data.dta", clear
{txt}(Glaessel, Scharpf, Edwards. 'Does sportswashing work?' JoP [tweets])

{com}.                 
.         *Extracting date and time information
.         gen day=substr(date,4,2)
{txt}
{com}.         gen month=substr(date,1,2)
{txt}
{com}.         gen year=substr(date,7,4)
{txt}
{com}.         gen hour=substr(time,1,2)
{txt}
{com}.         gen minute=substr(time,4,2)     
{txt}
{com}.         destring month day year hour minute, replace
{txt}month: all characters numeric; {res}replaced {txt}as {res}byte
{txt}day: all characters numeric; {res}replaced {txt}as {res}byte
{txt}year: all characters numeric; {res}replaced {txt}as {res}int
{txt}hour: all characters numeric; {res}replaced {txt}as {res}byte
{txt}minute: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         
.         *Generating Stata-compatible timestamp variable
.         gen double date_tweet = mdyhms(month, day, year, hour, minute, 0)
{txt}
{com}.         format date_tweet %tc           
{txt}
{com}.         
.         *Identifying pre- and post-opening ceremony coverage
.         gen post_ceremony=0 if date_tweet<tc(20nov2022 15:30:00)
{txt}(28 missing values generated)

{com}.         replace post_ceremony=1 if date_tweet>=tc(20nov2022 15:30:00)
{txt}(28 real changes made)

{com}.         
.         *Calculating shares of twitter response types
.         gen total_tweets=1 if sentiment!=.
{txt}
{com}.         gen anti_wc=1 if sentiment==0
{txt}(32 missing values generated)

{com}.         gen neutral=1 if sentiment==1
{txt}(47 missing values generated)

{com}.         gen anti_media=1 if sentiment==2
{txt}(29 missing values generated)

{com}.         
.         collapse (sum) anti_wc neutral anti_media total_tweets, by(post_ceremony) 
{txt}
{com}.         
.         foreach var of varlist anti_wc neutral anti_media {c -(}
{txt}  2{com}.                 gen share_`var'=(`var'/total_tweets)*100        
{txt}  3{com}.         {c )-}
{txt}
{com}.         
.         *Graph
.         #delimit ;
{txt}delimiter now ;
{com}.         twoway  (connected share_anti_wc post_ceremony, lpattern(shortdash) lcolor(black) mlcolor(black) mfcolor(white) msize(*1.3))
>                         (connected share_neutral post_ceremony, lpattern(shortdash) lcolor(gs10) mlcolor(gs10) mfcolor(white) msize(*1.3))
>                         (connected share_anti_media post_ceremony, lcolor(black) mcolor(black) msize(*1.3))
>                         ,
>                         ysize(1)
>                         xsize(1.4)      
>                         yscale(range(0 100) noextend titlegap(+2)) 
>                         xscale(range(-.25 1.95) noextend)                                       
>                         xtitle("")
>                         ytitle("Share of tweets (%)")
>                         ylabel(0(20)100, nogrid angle(horizontal))
>                         xlabel(0  `" "Before" "broadcast" "' 1  `" "During/after" "broadcast" "', labsize(*1.05))
>                         legend(off)
>                     xline(0 1, lcolor(gs13))
>                         text(10.71 1.05 "Uncritical", placement(3))
>                         text(3.57 1.04 "Critical of tournament", placement(3))
>                         text(85.71 1.05 "Critical of critical reporting", placement(3))                 
>                         plotregion(lcolor(white)) 
>                 graphregion(color(white) lcolor(white) lalign(outside))                 
>         ;
{res}{txt}
{com}.         #delimit cr
{txt}delimiter now cr
{com}.         graph export "$path\figure_A_7_2.pdf", as(pdf) replace  
{txt}(file C:\Users\pxq521\Desktop\Glaessel_Scharpf_Edwards_Sportswashing_JoP_Replication\figure_A_7_2.pdf written in PDF format)

{com}.                 
.         
. ********************************************************************************        
. *       
. ********************************************************************************                
.         
.         *Closing graph windows
.         graph close _all 
{txt}
{com}.         
.         *Clearing data
.         clear all
{res}{txt}
{com}.         
.         *End recording log file
.         log close       
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\pxq521\Desktop\Glaessel_Scharpf_Edwards_Sportswashing_JoP_Replication\replication_log.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}22 Oct 2023, 12:45:42
{txt}{.-}
{smcl}
{txt}{sf}{ul off}